Risk-based and predictive maintenance planning of engineering infrastructure: Existing quantitative techniques and future directions

Engineering infrastructure incorporate complex systems, hazardous materials and often operated by human beings, making them prone to catastrophic accidents. Continuously improving system safety of the facilities and their operations requires a well-established asset management practices. The history...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Process safety and environmental protection Ročník 165; s. 776 - 790
Hlavní autoři: Abbassi, Rouzbeh, Arzaghi, Ehsan, Yazdi, Mohammad, Aryai, Vahid, Garaniya, Vikram, Rahnamayiezekavat, Payam
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.09.2022
Témata:
Decision-making
Maintenance operations
Process industry
Risk analysis
System safety
Maintenance operations
Decision-making
System safety
Process industry
Risk analysis
ISSN:0957-5820, 1744-3598
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Engineering infrastructure incorporate complex systems, hazardous materials and often operated by human beings, making them prone to catastrophic accidents. Continuously improving system safety of the facilities and their operations requires a well-established asset management practices. The history of hazardous events in some domains such as process facilities suggest that many accidents have occurred due to ineffective maintenance planning strategies. Thus, to ensure an acceptable level of system safety and availability, it is essential to adopt optimal programs and practical procedures in maintenance planning engineering assets. The lessons learnt from previous accidents have helped operators, classification societies and regulators to develop viable standards and guidelines for employing quantitative methods in Operation and Maintenance (O&M) planning. The current work aims to present the existing attempts and identify the gaps, needs, and challenges of maintenance planning in engineering facilities. It then integrates the empirical and theoretical conclusions, highlighting the capabilities and drawbacks of the state-of-the-arts and explaining research opportunities and challenges. The decision-makers, operators, and managers in engineering infrastructure can exploit the present work from theoretical and practical perspectives.
AbstractList Engineering infrastructure incorporate complex systems, hazardous materials and often operated by human beings, making them prone to catastrophic accidents. Continuously improving system safety of the facilities and their operations requires a well-established asset management practices. The history of hazardous events in some domains such as process facilities suggest that many accidents have occurred due to ineffective maintenance planning strategies. Thus, to ensure an acceptable level of system safety and availability, it is essential to adopt optimal programs and practical procedures in maintenance planning engineering assets. The lessons learnt from previous accidents have helped operators, classification societies and regulators to develop viable standards and guidelines for employing quantitative methods in Operation and Maintenance (O&M) planning. The current work aims to present the existing attempts and identify the gaps, needs, and challenges of maintenance planning in engineering facilities. It then integrates the empirical and theoretical conclusions, highlighting the capabilities and drawbacks of the state-of-the-arts and explaining research opportunities and challenges. The decision-makers, operators, and managers in engineering infrastructure can exploit the present work from theoretical and practical perspectives.
Author Arzaghi, Ehsan
Yazdi, Mohammad
Garaniya, Vikram
Aryai, Vahid
Abbassi, Rouzbeh
Rahnamayiezekavat, Payam
Author_xml – sequence: 1
  givenname: Rouzbeh
  surname: Abbassi
  fullname: Abbassi, Rouzbeh
  email: Rouzbeh.abbassi@mq.edu.au
  organization: School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia
– sequence: 2
  givenname: Ehsan
  surname: Arzaghi
  fullname: Arzaghi, Ehsan
  organization: Australian Maritime College, University of Tasmania, Launceston, Tasmania, Australia
– sequence: 3
  givenname: Mohammad
  surname: Yazdi
  fullname: Yazdi, Mohammad
  organization: School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia
– sequence: 4
  givenname: Vahid
  surname: Aryai
  fullname: Aryai, Vahid
  organization: Australian Maritime College, University of Tasmania, Launceston, Tasmania, Australia
– sequence: 5
  givenname: Vikram
  surname: Garaniya
  fullname: Garaniya, Vikram
  organization: Australian Maritime College, University of Tasmania, Launceston, Tasmania, Australia
– sequence: 6
  givenname: Payam
  surname: Rahnamayiezekavat
  fullname: Rahnamayiezekavat, Payam
  organization: School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW, Australia
BookMark eNp9kEtOwzAQQC1UJNrCBVjlAgm249QJYoOq8pEqISFYW449Li6tk9pOBXsOTtKyYtHVaDTz5vMmaOQaBwhdE5wRTGY366wN0GYUU5phnmE2O0NjwhlL86IqR2iMq4KnRUnxBZqEsMYYE8rJGP282vCZ1jKATqTTSetBWxXtHpKttC6Ck05B0m6kc9atksYk4FbWAfghtc54GaLvVOw83CaLLxviUNh10kUb5WFSBPXh7K6DcNhhuqE50dZDv6lx4RKdG7kJcPUXp-j9YfE2f0qXL4_P8_tlqnKMY6q5MVwpTogEzQjjdc2ImSlWVwXgvFIFZVXFaEm14lID5YZSXjLFTZ5TTfIpKo9zlW9C8GCEOpzYuOil3QiCxWBTrMVgUww2Beait9mj9B_aeruV_vs0dHeEoH9qb8GLoCz0Po-vC93YU_gv4XeVdg
CitedBy_id crossref_primary_10_1016_j_rser_2023_114088
crossref_primary_10_3390_app142311318
crossref_primary_10_1016_j_psep_2024_06_038
crossref_primary_10_1016_j_physd_2023_133976
crossref_primary_10_3390_app15073721
crossref_primary_10_1016_j_epsr_2025_111534
crossref_primary_10_3390_en17236141
crossref_primary_10_1016_j_psep_2024_09_031
crossref_primary_10_1080_09544828_2024_2355751
crossref_primary_10_1109_ACCESS_2023_3296491
crossref_primary_10_3390_app132212439
crossref_primary_10_1111_risa_70028
crossref_primary_10_1002_prs_12499
crossref_primary_10_1016_j_psep_2024_08_059
crossref_primary_10_1016_j_cep_2025_110479
crossref_primary_10_3390_en17236170
crossref_primary_10_3390_app15031159
crossref_primary_10_1007_s42452_024_06273_7
crossref_primary_10_3390_s24030740
crossref_primary_10_1007_s44245_023_00017_4
crossref_primary_10_1016_j_psep_2024_08_090
crossref_primary_10_3390_mi14020376
crossref_primary_10_1016_j_autcon_2023_104789
crossref_primary_10_3390_pr13082533
crossref_primary_10_1007_s13132_024_02264_6
crossref_primary_10_1016_j_oceaneng_2024_118157
crossref_primary_10_1016_j_compchemeng_2024_108984
crossref_primary_10_1080_00207543_2024_2374848
crossref_primary_10_1016_j_psep_2023_07_090
crossref_primary_10_1016_j_psep_2022_12_006
crossref_primary_10_3390_bdcc9050118
crossref_primary_10_3390_infrastructures10050104
crossref_primary_10_1080_09617353_2024_2424036
crossref_primary_10_1108_F_09_2024_0129
crossref_primary_10_1016_j_psep_2023_08_045
crossref_primary_10_1002_qre_3192
Cites_doi 10.1109/ACCESS.2018.2858856
10.1109/TIE.2017.2767551
10.3390/s20051361
10.1016/j.ymssp.2016.02.007
10.1016/j.ress.2016.11.001
10.1016/j.neucom.2018.05.018
10.1109/TIE.2018.2877090
10.1002/qre.2065
10.1016/j.psep.2019.09.003
10.1016/j.ymssp.2019.02.012
10.1109/TIM.2009.2036347
10.1007/s12206-020-0306-1
10.1111/j.1539-6924.2010.01475.x
10.1109/TPWRD.2017.2721903
10.1016/S0019-9958(65)90241-X
10.1016/j.ress.2013.06.038
10.1016/j.oceaneng.2021.108852
10.1016/j.ress.2018.11.027
10.1016/j.jlp.2018.11.003
10.3182/20090603-3-RU-2001.0458
10.1109/ACCESS.2019.2961953
10.1016/j.oceaneng.2010.11.003
10.14445/22315381/IJETT-V46P278
10.1016/j.measurement.2017.07.017
10.1016/j.jlp.2003.08.011
10.1109/TSM.2004.831948
10.1016/j.jlp.2015.01.004
10.1080/00207543.2014.931609
10.1093/jla/las007
10.1016/j.ssci.2011.01.014
10.1016/j.neucom.2017.05.063
10.1016/j.psep.2021.11.032
10.1016/j.neucom.2018.09.076
10.1007/s00521-018-3690-z
10.1016/j.jmsy.2018.04.008
10.1007/s12204-018-2027-5
10.1002/prs.11829
10.1016/j.jlp.2020.104200
10.1016/j.protcy.2016.08.211
10.1007/s11668-017-0305-4
10.1016/j.petrol.2018.01.030
10.1016/j.trc.2019.02.001
10.1007/s13160-012-0099-4
10.1016/j.jlp.2018.11.014
10.1016/j.oceaneng.2020.108082
10.1108/JQME-04-2016-0014
10.1016/j.jlp.2005.01.002
10.1504/IJRAM.2008.021059
10.1016/j.measurement.2019.107227
10.1080/08839514.2013.747370
10.1109/TR.2007.911248
10.1109/IITA.2009.49
10.3390/s17020414
10.1016/j.jlp.2013.04.002
10.5897/AJBM2016.8198
10.1016/j.psep.2015.11.011
10.1177/0018720813512328
10.1016/j.knosys.2019.105290
10.1016/j.jlp.2017.12.006
10.1016/j.jlp.2007.04.037
10.1002/prs.11722
10.1016/j.jhazmat.2018.09.044
10.1002/prs.10158
10.1016/j.renene.2020.04.023
10.1016/j.engfailanal.2016.06.004
10.1080/10803548.2015.1116814
10.30638/eemj.2010.101
10.1177/0018720813491424
10.3390/en10081210
10.1080/07408179808966568
10.2516/ogst/2010027
10.1016/j.renene.2016.05.022
10.1016/j.ces.2019.01.060
10.1109/ACCESS.2017.2720965
10.1016/j.measurement.2019.107461
10.1016/j.petrol.2017.09.066
10.1016/j.ress.2021.107607
10.1109/ICAL.2008.4636252
10.1142/S021945542050042X
10.1016/j.ress.2019.106682
10.1016/j.jlp.2016.04.006
10.3390/s19081826
10.1111/j.1539-6924.2006.00705.x
10.1002/qre.2408
10.1016/j.ress.2017.12.013
10.1002/qre.2202
10.1109/TII.2016.2607179
10.1016/j.jlp.2009.01.003
10.1016/j.ress.2014.04.005
10.3390/s19194342
10.1016/j.ress.2019.04.036
10.1016/j.psep.2015.01.010
10.1016/j.engfailanal.2017.06.003
10.1177/0954409718769193
10.1016/j.ress.2004.11.001
10.1109/ACCESS.2020.2968939
10.1016/j.ijpvp.2006.02.013
10.1016/j.ress.2017.11.021
10.1016/j.neucom.2020.03.041
10.1109/TPEC48276.2020.9042542
10.1016/j.ssci.2009.09.005
10.1016/j.protcy.2016.05.117
10.3389/frai.2020.578613
10.1016/j.psep.2017.08.040
10.1016/j.compchemeng.2019.106562
10.1016/j.jlp.2011.12.007
10.1016/j.jlp.2019.02.001
10.1016/j.proeng.2014.09.088
10.1016/j.apenergy.2019.03.027
10.1111/j.1937-5956.2002.tb00486.x
10.1016/j.ymssp.2013.06.004
10.1016/j.jlp.2020.104236
10.1016/j.jlp.2017.06.019
10.1002/prs.680170108
10.1016/j.jlp.2017.10.015
10.4236/eng.2010.211109
10.1088/1361-6501/ab0793
10.1016/j.microrel.2017.03.006
10.1049/iet-pel.2018.5330
10.3390/s20061693
ContentType Journal Article
Copyright 2022 The Institution of Chemical Engineers
Copyright_xml – notice: 2022 The Institution of Chemical Engineers
DBID AAYXX
CITATION
DOI 10.1016/j.psep.2022.07.046
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Environmental Sciences
EISSN 1744-3598
EndPage 790
ExternalDocumentID 10_1016_j_psep_2022_07_046
S0957582022006589
GroupedDBID --K
--M
-QF
.~1
0R~
123
1B1
1~.
1~5
3EH
4.4
457
4G.
4P2
53G
5VS
7-5
71M
8P~
8WZ
A6W
AACTN
AAEDT
AAEDW
AAHCO
AAIAV
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AAQXK
AARJD
AAXUO
ABFNM
ABFRF
ABFYP
ABJNI
ABLST
ABMAC
ABNUV
ABXDB
ABYKQ
ACDAQ
ACGFO
ACRLP
ADBBV
ADEWK
ADEZE
ADMUD
AEBSH
AEFWE
AEKER
AENEX
AFKWA
AFTJW
AFXIZ
AGHFR
AGUBO
AGYEJ
AHEUO
AHIDL
AHPOS
AIAGR
AIEXJ
AIKHN
AITUG
AJBFU
AJOXV
AKIFW
AKURH
ALMA_UNASSIGNED_HOLDINGS
AMFUW
AMRAJ
ASPBG
AVWKF
AXJTR
AZFZN
BELTK
BKOJK
BLECG
BLXMC
CAG
COF
CS3
DU5
EBS
EDH
EFJIC
EFLBG
EJD
ENUVR
EO9
EP2
EP3
FDB
FEDTE
FGOYB
FIRID
FNPLU
FYGXN
GBLVA
HVGLF
HZ~
I-F
IHE
J1W
JARJE
KCYFY
KOM
M41
ML.
MO0
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
Q38
R2-
ROL
RPZ
SDF
SDG
SES
SJN
SPC
SPCBC
SSG
SSJ
SSR
SSZ
T5K
UNMZH
XFK
ZE2
~G-
9DU
AATTM
AAXKI
AAYWO
AAYXX
ABWVN
ACLOT
ACRPL
ACVFH
ADCNI
ADMLS
ADNMO
AEIPS
AEUPX
AFJKZ
AFPUW
AGQPQ
AIGII
AIIUN
AKBMS
AKRWK
AKYEP
ANKPU
APXCP
BANNL
CITATION
EFKBS
~HD
ID FETCH-LOGICAL-c300t-d7ff7cc711aed4147bb41f6c4b95e039c524994282dc7ade27f22784c7f332d13
ISICitedReferencesCount 41
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000864040900008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0957-5820
IngestDate Sat Nov 29 07:06:03 EST 2025
Tue Nov 18 19:37:08 EST 2025
Fri Feb 23 02:40:02 EST 2024
IsPeerReviewed true
IsScholarly true
Keywords Maintenance operations
Decision-making
System safety
Process industry
Risk analysis
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c300t-d7ff7cc711aed4147bb41f6c4b95e039c524994282dc7ade27f22784c7f332d13
PageCount 15
ParticipantIDs crossref_citationtrail_10_1016_j_psep_2022_07_046
crossref_primary_10_1016_j_psep_2022_07_046
elsevier_sciencedirect_doi_10_1016_j_psep_2022_07_046
PublicationCentury 2000
PublicationDate September 2022
2022-09-00
PublicationDateYYYYMMDD 2022-09-01
PublicationDate_xml – month: 09
  year: 2022
  text: September 2022
PublicationDecade 2020
PublicationTitle Process safety and environmental protection
PublicationYear 2022
Publisher Elsevier Ltd
Publisher_xml – name: Elsevier Ltd
References Guo, Lei, Xing, Yan, Li (bib55) 2018; 66
Nti, Adekoya, Weyori, Nyarko-Boateng (bib115) 2021
Abbassi, Khan, Garaniya, Chai, Chin, Hossain (bib2) 2015; 94
Afefy (bib8) 2010; 2
Society for Risk Analysis (SRA). 2018.
Sumwalt (bib148) 2015
Harnly (bib58) 1998; 17
Ellefsen, Listou, Bjørlykhaug, Æsøy, Ushakov, Zhang (bib48) 2019; 183
Ramirez (bib129) 2010
Orsagh, Lee, Watson (bib121) 2006
Andre, Beltrame, Wainer (bib13) 2013; 27
Nedjati, Yazdi, Abbassi (bib111) 2021
Castanier, Rausand (bib34) 2006; 83
Yazdi, Hafezi, Abbassi (bib178) 2019; 58
Shi, Guo, Han, Fu (bib143) 2020; 34
.
Bertolini, Bevilacqua, Ciarapica, Giacchetta (bib24) 2009; 22
Wang, Z.and Guo, S. 2009. Research on maintenance optimization for steam turbine digital electro-hydraulic control system. 3rd International Symposium on Intelligent Information Technology Application, IITA 2009, 2, 345–348.
Chen, Deng, Chen, Li, Sanchez, Qin (bib40) 2017; 75
Dhillon (bib42) 1986
Krishnasamy, Khan, Haddara (bib85) 2005; 18
US Chemical Safety and Hazard Investigation Board (US-CSHIB) (bib152) 2001
Karmacharya, Gokaraju (bib75) 2017; 33
Bourassa, Gauthier, Abdul-Nour (bib29) 2016; 22
Zhang, Hongyang Tao, Guan (bib188) 2017; 5
Gholamizadeh, Zarei, Omidvar, Yazdi (bib52) 2022
US Chemical Safety and Hazard Investigation Board (US-CSHIB). 2014. Investigation report catastrophic rupture of heat exchanger Tesoro Anacortes Refinery.
Mannan (bib99) 2013
Islam, Abbassi, Garaniya, Khan (bib67) 2017; 50
Jing, Wang, Zhao, Wang (bib71) 2017; 17
Pui, Bhandari, Arzaghi, Abbassi, Garaniya (bib128) 2017; 159
National Research Council (NRC) (bib109) 2012
Safi, S. Upgrading maintenance strategies for established plant. Asset Management Conference, 24–28 May, 2015, Sydney, NSW, Australia.
Yao, Gaucherand, Fu, Marcus (bib174) 2004; 17
Hussain, Dhimish, Titarenko, Mather (bib65) 2020
US Chemical Safety and Hazard Investigation Board (US-CSIHB). 2017. Investigation Report ExxonMobil Torrance Refinery Electrostatic Precipitator Explosion.
Wang, Shen, Wang, Dong, Khan, Wang (bib167) 2017; 111
Holmgren (bib62) 2006
Bhandari, Arzaghi, Abbassi, Garaniya, Khan (bib25) 2016
Ismail, Dawal, Md, Karim (bib68) 2007
Liu, Wang, Peng (bib94) 2017; 33
Antonovsky, Pollock, Straker (bib15) 2014; 56
Chen, Trivedi (bib36) 2005; 90
Bastos, P., Lopes, I., and Pires, L. A maintenance prediction system using data mining techniques. Proceedings of the World Congress on Engineering, July 4 - 6, 2012, London, U.K.
Sobanski, Kaminski (bib145) 2019; 12
Drew, Hopwood (bib46) 2014
Wen, Li, Gao (bib170) 2019
Yazdi (bib176) 2019; 35
Selsouli, Najib, Mohafid, Aghezzaf (bib139) 2009; 42
Shahriar, Sadiq, Tesfamariam (bib140) 2012; 25
Khalaj, Makui, Moghaddam (bib78) 2012; 23
Abbassi, Bhandari, Khan, Garaniya, Chai (bib3) 2016; 48
Chen, Yang, Zhou (bib37) 2019; 19
Yazdi, Darvishmotevali (bib177) 2019
Wang, Ye, Yin (bib164) 2016; 9
Wang, Yu, Guo (bib165) 2020
Zhao, Li, Dong, Kang, Lv, Shang (bib190) 2017; 10
Ma, Zhang, Fan, Wang, Wen, Zhang (bib98) 2019; 30
Song, Shi, Chen, Huang, Xia (bib147) 2018; 23
Hameed, Khan, Ahmed (bib56) 2015; 34
Li, Zhu, Chen, Zhang (bib91) 2017; 49
Burton, Stephens, Hickling, Gaskell (bib31) 2004; 213
Khan, Haddara, Bhattacharya (bib82) 2006; 26
Papakonstantinou, Shinozuka (bib125) 2014; 102
Noroozi, Khakzad, Khan, MacKinnon, Abbassi (bib113) 2013; 119
Yazdi, Golilarz, Nedjati, Adesina (bib183) 2022
Hameed, Khan, Ahmed (bib57) 2016; 100
Mathew, Toby, Singh, Rao, Kumar (bib102) 2017
Garg, Rani, Sharma (bib51) 2013; 30
US Chemical Safety and Hazard Investigation Board (US-CSHIB) (bib153) 2005
Arzaghi, Abaei, Abbassi, Garaniya, Chin, Khan (bib17) 2017; 79
Guicang (bib53) 2014
Lee, Wu, Zhao, Ghaffari, Liao, Siegel (bib87) 2014; 42
Don, Khan (bib44) 2019; 201
Chen, Wang, Hao, Zhao (bib39) 2018; 315
Hong, Pasman, Sachdeva, Markowski, Mannan (bib64) 2016; 43
The Institution of Engineering and Technology (IET) (bib149) 2017
Ma, Mao (bib97) 2020
Böhm (bib27) 2017; 8
US Chemical Safety and Hazard Investigation Board (US-CSHIB) (bib154) 2010
Abbassi, Khan, Hawboldt (bib1) 2010; 9
Arunraj, Maiti (bib16) 2010; 48
da Costa, Akcay, Zhang, Kaymak (bib41) 2020; 195
Lei, Zhao, Zheng, Li (bib88) 2020; 20
Shrikanth (bib144) 2016
Bahoo Toroody, Abaei, Arzaghi, BahooToroody, De Carlo, Abbassi (bib19) 2019; 362
Independent Transport Safety Regulator (ITSR). 2012. Sharing practice: A discussion on the relationship between risk and asset management. NSW rail industry seminar paper, Australia.
Luopajarvi (bib96) 2010
Sheikhalishahi, Azadeh, Pintelon, Chemweno (bib142) 2016; 33
Adumene, Adedigba, Khan, Zendehboudi (bib6) 2020; 218
Bao, Ding (bib21) 2014; 80
Jing, Zhao, Li, Xu (bib72) 2017; 111
Pasman, Rogers (bib127) 2020; 66
Health and Safety Authority (HSA). 2007. Guidance for Directors and Senior Managers on their Responsibilities for Workplace Safety and Health. Dublin.
Nwaoha, Adumene (bib116) 2019; 4
Vishnu, Regikumar (bib162) 2016; 25
Wu, Jiang, Zhao, Li (bib173) 2020; 151
National Wildlife Federation (NWF) (bib110) 2010
Ananda, Maiti (bib12) 2008; 10
Mentes, Helvacioglu (bib104) 2011; 38
Zhu, Qian, Liu, Huang, Yuan (bib192) 2015; 33
Scalabrini Sampaio, Filho, da Silva, da Silva (bib137) 2019; 19
Chen, Arzaghi, Abaei, Garaniya, Abbassi (bib38) 2018; 51
Morales, Reyes, Caceres, Romero, Benitez, Morgado, Duarte (bib106) 2020
Li, Ding, Sun (bib92) 2018; 172
Wan, Chen, Li, Li (bib163) 2020; 20
US Department of the Interior Bureau of Safety and Environmental Enforcement (BSEE), Investigation of November 16, 2012, Explosion, Fire and Fatalities at West Delta Block 32 Platform E 2013.
Bagshaw (bib18) 2017; 11
Norrozi, Abbassi, MacKinnon, Khan, Khakzad (bib114) 2014; 56
Bonde, Fulzele (bib28) 2013; 3
Elsheikh, Yacout, Ouali (bib49) 2019; 323
Okoh (bib117) 2015
Adumene, Okwu, Yazdi, Afenyo, Islam, Orji, Obeng, Goerlandt (bib7) 2021; 2
Guo, Wu, Zhang, Long, Chen, Cabrera, Li (bib54) 2020; 20
Ahmadi, Fouladirad (bib10) 2017; 159
Li, Sanchez, Zurita, Cerrada, Cabrera, Vásquez (bib90) 2016; 76
Rausand (bib130) 2011
Jiang, Wang, Liu (bib70) 2018; 232
Usher, Kamal, Syed (bib160) 1998; 30
Casal (bib33) 2008
Moradi, Shadrokh (bib105) 2019; 130
Wilder, Cannon (bib171) 1993
Ren, Zhao, Hong, Zhao, Wang, Zhang (bib132) 2018; 6
Holmstrom, Altamirano, Banks, Joseph, Kaszniak, Mackenzie, Shroff, Cohen, Wallace (bib63) 2006; 25
Leoni, BahooToroody, De Carlo, Paltrinieri (bib89) 2018; 57
Ross (bib134) 2010
Agasthian, Pamula, Kumaraswamidhas (bib9) 2019; 31
US Chemical Safety and Hazard Investigation Board (US-CSIHB). 2016. Case Study, Williams Geismar Olefins Plant Reboiler Rupture and Fire Geismar, Louisiana.
Vermeule (bib161) 2012; 4
Kiran, Kumar, Sreejith, Mutalidharan (bib84) 2016; 24
Ossai, Boswell, Davies (bib124) 2016; 96
Canizo, Onieva, Conde, Charramendieta, Trujillo (bib32) 2017
She, Jia, Pecht (bib141) 2020
Yazdi, Kabir, Walker (bib180) 2019; 131
Wu, Yuan, Dong, Lin, Liu (bib172) 2018; 275
Liu, Zheng, Fu, Nie, Chen (bib95) 2018; 163
Onyenanu (bib120) 2010
Noman, M.A., Nasr, E.S.A., Al-Shayea, A., and Kaid, H. 2018. Journal of King Saud University- Engineering Sciences.
Kabir, Geok, Kumar, Yazdi, Hossain (bib73) 2020; 8
Ossai, Boswell, Davies (bib123) 2016; 68
Samah, Shahzad, Zamai, Said (bib136) 2015; 48
Okoh, Haugen (bib119) 2013; 26
An, Tao, Xu, Mansori, Chen (bib11) 2020; 154
Mckone, Weiss (bib103) 2002; 11
Khan, Haddara (bib80) 2003; 16
Khan, Haddara, Krishnasamy (bib83) 2008; 57
Henderson (bib61) 2018
Yazdi (bib175) 2017; 17
Zadeh (bib186) 1965; 8
U.S. Chemical Safety and Hazard Investigation Board (US-CSHIB). 2009. U.S. Chemical Safety and Hazard Investigation Board, Urgent Recommendations.
Okoh, Haugen (bib118) 2013; 31
Selin (bib138) 2014
Ren, Sun, Cui, Zhang (bib131) 2018; 48
Adumene, Adedigba, Khan, Zendehboudi (bib5) 2020; 218
Basri, Razak, Samat, Kamaruddin (bib22) 2017; 23
Naik, Kadam, Kadam, Kadam, Kulkarni (bib108) 2017; 46
Bajestani, Banjevic, Beck (bib20) 2014; 52
Chadwell, L.J., Blundon, C., Anderson, C., Cacho, M. 1998. Incidents Associated with Oil and Gas Operations: Outer Continental Shelf. OCS Report U.S. Department of the Interior Minerals Management Service Engineering and Operations Division, MMS 2000–021.
Dong, Y., Gu, Y., Zhang, Y. 2008. Maintenance decision on steam turbine digital electro-hydraulic control system based on risk. Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008, September, 764–768.
Zadakbar, Abbassi, Khan, Karimpour, Golshani, Vatani (bib185) 2011; 66
Kauschke, S., Janssen, F., Schweiser, I. 2015. On the challenges of real word data in predictive maintenance scenarios: a railway application. Proceedings of the LWA Workshops, Trier, Germany.
Ferdous, Khan, Sadiq, Amyotte, Veitch (bib50) 2011; 31
Yu, Hu, Si, Zheng, Zhang (bib184) 2020
Khan, Amyotte (bib81) 2007; 20
Kadry (bib74) 2012
Hashemian, Bean (bib59) 2011; 60
Andriotis, Papakonstantinou (bib14) 2019; 191
Kumar, Kaushik (bib86) 2020
Elforjani, Shanbr (bib47) 2017; 65
Wang, Zhang, Long, Xu, Liu (bib166) 2016; 13
Liggan (bib93) 2008
Zhong, Pantelous, Goh, Zhou (bib191) 2019; 124
Park, Choi, Choi, Ryu, Kim (bib126) 2020; 8
Abbassi, Khan, Khakzad, Veitch, Ehlers (bib4) 2017; 159
Rocchetta, Bellani, Compare, Zio, Patelli (bib133) 2019; 241
Yazdi, Nedjati, Abbassi (bib179) 2019; 57
Zarei, Khan, Abbassi (bib187) 2021; 211
Kendon, P. 2016. Critical maintenance lessons from 5 major recent oil industry accidents.
Bukhsh, Saeed, Stipanovic, Doree (bib30) 2019; 101
OSH Agency. 2008.
Khalid, Khalil, Nasreen (bib79) 2014
Martinez, Ramasso, Perrin, Rombaut (bib101) 2020; 190
Nagam, Sai Sowmya, Rakesh Kumar Panda, Abheejeet Mohapatra, Sandeep Anand. 2020. Gaussian Process Regression based Fault Location in DC Microgrid. In 2020 IEEE Texas Power and Energy Conference (TPEC), 1–6. IEEE.
Zhao, Guo, Wang (bib189) 2018; 172
U.S. Chemical Safety Board (CSB). 2018.
Jiang, Zhang, Wang, Peng, Zhang, He (bib69) 2011; 49
US Chemical Safety and Hazard Investigation Board (US-CSHIB). 2015. Final Investigation Report, Caribbean Petroleum Tank Terminal Explosion and Multiple Tank Fires.
Yazdi, Khan, Abbassi (bib182) 2021; 158
Martinez, Perrin, Ramasso, Rombaut (bib100) 2018
Biggio, Kastanis (bib26) 2020
Warima (
10.1016/j.psep.2022.07.046_bib77
Naik (10.1016/j.psep.2022.07.046_bib108) 2017; 46
Kabir (10.1016/j.psep.2022.07.046_bib73) 2020; 8
10.1016/j.psep.2022.07.046_bib76
Khalaj (10.1016/j.psep.2022.07.046_bib78) 2012; 23
Wang (10.1016/j.psep.2022.07.046_bib166) 2016; 13
Wang (10.1016/j.psep.2022.07.046_bib167) 2017; 111
Wilder (10.1016/j.psep.2022.07.046_bib171) 1993
Khan (10.1016/j.psep.2022.07.046_bib80) 2003; 16
Papakonstantinou (10.1016/j.psep.2022.07.046_bib125) 2014; 102
Zadakbar (10.1016/j.psep.2022.07.046_bib185) 2011; 66
Yazdi (10.1016/j.psep.2022.07.046_bib180) 2019; 131
Li (10.1016/j.psep.2022.07.046_bib92) 2018; 172
Wang (10.1016/j.psep.2022.07.046_bib164) 2016; 9
Leoni (10.1016/j.psep.2022.07.046_bib89) 2018; 57
Okoh (10.1016/j.psep.2022.07.046_bib119) 2013; 26
Lei (10.1016/j.psep.2022.07.046_bib88) 2020; 20
Bhandari (10.1016/j.psep.2022.07.046_bib25) 2016
Luopajarvi (10.1016/j.psep.2022.07.046_bib96) 2010
Park (10.1016/j.psep.2022.07.046_bib126) 2020; 8
Abbassi (10.1016/j.psep.2022.07.046_bib1) 2010; 9
Nti (10.1016/j.psep.2022.07.046_bib115) 2021
Wu (10.1016/j.psep.2022.07.046_bib172) 2018; 275
10.1016/j.psep.2022.07.046_bib122
Nedjati (10.1016/j.psep.2022.07.046_bib111) 2021
Guicang (10.1016/j.psep.2022.07.046_bib53) 2014
Jiang (10.1016/j.psep.2022.07.046_bib69) 2011; 49
10.1016/j.psep.2022.07.046_bib66
Vermeule (10.1016/j.psep.2022.07.046_bib161) 2012; 4
Yazdi (10.1016/j.psep.2022.07.046_bib181) 2021
Ismail (10.1016/j.psep.2022.07.046_bib68) 2007
Yu (10.1016/j.psep.2022.07.046_bib184) 2020
Shahriar (10.1016/j.psep.2022.07.046_bib140) 2012; 25
10.1016/j.psep.2022.07.046_bib60
Adumene (10.1016/j.psep.2022.07.046_bib6) 2020; 218
Krishnasamy (10.1016/j.psep.2022.07.046_bib85) 2005; 18
Ahmadi (10.1016/j.psep.2022.07.046_bib10) 2017; 159
Ramirez (10.1016/j.psep.2022.07.046_bib129) 2010
10.1016/j.psep.2022.07.046_bib107
Henderson (10.1016/j.psep.2022.07.046_bib61) 2018
10.1016/j.psep.2022.07.046_bib112
Okoh (10.1016/j.psep.2022.07.046_bib118) 2013; 31
Yazdi (10.1016/j.psep.2022.07.046_bib177) 2019
Kadry (10.1016/j.psep.2022.07.046_bib74) 2012
Yao (10.1016/j.psep.2022.07.046_bib174) 2004; 17
Ossai (10.1016/j.psep.2022.07.046_bib123) 2016; 68
Sumwalt (10.1016/j.psep.2022.07.046_bib148) 2015
Li (10.1016/j.psep.2022.07.046_bib91) 2017; 49
Usher (10.1016/j.psep.2022.07.046_bib160) 1998; 30
Yazdi (10.1016/j.psep.2022.07.046_bib176) 2019; 35
Yazdi (10.1016/j.psep.2022.07.046_bib175) 2017; 17
Onyenanu (10.1016/j.psep.2022.07.046_bib120) 2010
Nwaoha (10.1016/j.psep.2022.07.046_bib116) 2019; 4
Zhu (10.1016/j.psep.2022.07.046_bib192) 2015; 33
Ananda (10.1016/j.psep.2022.07.046_bib12) 2008; 10
National Research Council (NRC) (10.1016/j.psep.2022.07.046_bib109) 2012
Selin (10.1016/j.psep.2022.07.046_bib138) 2014
Yazdi (10.1016/j.psep.2022.07.046_bib178) 2019; 58
Burton (10.1016/j.psep.2022.07.046_bib31) 2004; 213
Scalabrini Sampaio (10.1016/j.psep.2022.07.046_bib137) 2019; 19
Orsagh (10.1016/j.psep.2022.07.046_bib121) 2006
Martinez (10.1016/j.psep.2022.07.046_bib100) 2018
Agasthian (10.1016/j.psep.2022.07.046_bib9) 2019; 31
Vishnu (10.1016/j.psep.2022.07.046_bib162) 2016; 25
10.1016/j.psep.2022.07.046_bib146
Wang (10.1016/j.psep.2022.07.046_bib165) 2020
Afefy (10.1016/j.psep.2022.07.046_bib8) 2010; 2
Shrikanth (10.1016/j.psep.2022.07.046_bib144) 2016
Adumene (10.1016/j.psep.2022.07.046_bib5) 2020; 218
Bagshaw (10.1016/j.psep.2022.07.046_bib18) 2017; 11
Gholamizadeh (10.1016/j.psep.2022.07.046_bib52) 2022
Li (10.1016/j.psep.2022.07.046_bib90) 2016; 76
Liu (10.1016/j.psep.2022.07.046_bib95) 2018; 163
Martinez (10.1016/j.psep.2022.07.046_bib101) 2020; 190
Khalid (10.1016/j.psep.2022.07.046_bib79) 2014
Wen (10.1016/j.psep.2022.07.046_bib170) 2019
Dhillon (10.1016/j.psep.2022.07.046_bib43) 2002
Mannan (10.1016/j.psep.2022.07.046_bib99) 2013
Zhao (10.1016/j.psep.2022.07.046_bib189) 2018; 172
Dhillon (10.1016/j.psep.2022.07.046_bib42) 1986
She (10.1016/j.psep.2022.07.046_bib141) 2020
US Chemical Safety and Hazard Investigation Board (US-CSHIB) (10.1016/j.psep.2022.07.046_bib153) 2005
Selsouli (10.1016/j.psep.2022.07.046_bib139) 2009; 42
An (10.1016/j.psep.2022.07.046_bib11) 2020; 154
Bahoo Toroody (10.1016/j.psep.2022.07.046_bib19) 2019; 362
Zhao (10.1016/j.psep.2022.07.046_bib190) 2017; 10
Guo (10.1016/j.psep.2022.07.046_bib54) 2020; 20
Castanier (10.1016/j.psep.2022.07.046_bib34) 2006; 83
Canizo (10.1016/j.psep.2022.07.046_bib32) 2017
Antonovsky (10.1016/j.psep.2022.07.046_bib15) 2014; 56
Elforjani (10.1016/j.psep.2022.07.046_bib47) 2017; 65
Ross (10.1016/j.psep.2022.07.046_bib134) 2010
10.1016/j.psep.2022.07.046_bib135
Jing (10.1016/j.psep.2022.07.046_bib71) 2017; 17
Kiran (10.1016/j.psep.2022.07.046_bib84) 2016; 24
Sobanski (10.1016/j.psep.2022.07.046_bib145) 2019; 12
Chen (10.1016/j.psep.2022.07.046_bib38) 2018; 51
Arunraj (10.1016/j.psep.2022.07.046_bib16) 2010; 48
Andriotis (10.1016/j.psep.2022.07.046_bib14) 2019; 191
Biggio (10.1016/j.psep.2022.07.046_bib26) 2020
Mentes (10.1016/j.psep.2022.07.046_bib104) 2011; 38
Okoh (10.1016/j.psep.2022.07.046_bib117) 2015
US Chemical Safety and Hazard Investigation Board (US-CSHIB) (10.1016/j.psep.2022.07.046_bib152) 2001
Elsheikh (10.1016/j.psep.2022.07.046_bib49) 2019; 323
Hashemian (10.1016/j.psep.2022.07.046_bib59) 2011; 60
National Wildlife Federation (NWF) (10.1016/j.psep.2022.07.046_bib110) 2010
Bourassa (10.1016/j.psep.2022.07.046_bib29) 2016; 22
Don (10.1016/j.psep.2022.07.046_bib44) 2019; 201
Shi (10.1016/j.psep.2022.07.046_bib143) 2020; 34
Mathew (10.1016/j.psep.2022.07.046_bib102) 2017
10.1016/j.psep.2022.07.046_bib35
Bajestani (10.1016/j.psep.2022.07.046_bib20) 2014; 52
10.1016/j.psep.2022.07.046_bib168
Hussain (10.1016/j.psep.2022.07.046_bib65) 2020
Rausand (10.1016/j.psep.2022.07.046_bib130) 2011
Noroozi (10.1016/j.psep.2022.07.046_bib113) 2013; 119
Jiang (10.1016/j.psep.2022.07.046_bib70) 2018; 232
Morales (10.1016/j.psep.2022.07.046_bib106) 2020
Guo (10.1016/j.psep.2022.07.046_bib55) 2018; 66
Ma (10.1016/j.psep.2022.07.046_bib97) 2020
Wu (10.1016/j.psep.2022.07.046_bib173) 2020; 151
Karmacharya (10.1016/j.psep.2022.07.046_bib75) 2017; 33
Samah (10.1016/j.psep.2022.07.046_bib136) 2015; 48
Hameed (10.1016/j.psep.2022.07.046_bib56) 2015; 34
Bao (10.1016/j.psep.2022.07.046_bib21) 2014; 80
Chen (10.1016/j.psep.2022.07.046_bib36) 2005; 90
Mckone (10.1016/j.psep.2022.07.046_bib103) 2002; 11
Moradi (10.1016/j.psep.2022.07.046_bib105) 2019; 130
Wan (10.1016/j.psep.2022.07.046_bib163) 2020; 20
Kumar (10.1016/j.psep.2022.07.046_bib86) 2020
Warima (10.1016/j.psep.2022.07.046_bib169) 2014
10.1016/j.psep.2022.07.046_bib23
US Chemical Safety and Hazard Investigation Board (US-CSHIB) (10.1016/j.psep.2022.07.046_bib154) 2010
Bukhsh (10.1016/j.psep.2022.07.046_bib30) 2019; 101
Khan (10.1016/j.psep.2022.07.046_bib83) 2008; 57
10.1016/j.psep.2022.07.046_bib159
10.1016/j.psep.2022.07.046_bib158
10.1016/j.psep.2022.07.046_bib157
10.1016/j.psep.2022.07.046_bib156
Liggan (10.1016/j.psep.2022.07.046_bib93) 2008
10.1016/j.psep.2022.07.046_bib155
Islam (10.1016/j.psep.2022.07.046_bib67) 2017; 50
10.1016/j.psep.2022.07.046_bib151
10.1016/j.psep.2022.07.046_bib150
Abbassi (10.1016/j.psep.2022.07.046_bib2) 2015; 94
Andre (10.1016/j.psep.2022.07.046_bib13) 2013; 27
Sheikhalishahi (10.1016/j.psep.2022.07.046_bib142) 2016; 33
Ossai (10.1016/j.psep.2022.07.046_bib124) 2016; 96
Abbassi (10.1016/j.psep.2022.07.046_bib3) 2016; 48
Ren (10.1016/j.psep.2022.07.046_bib131) 2018; 48
Chen (10.1016/j.psep.2022.07.046_bib39) 2018; 315
Lee (10.1016/j.psep.2022.07.046_bib87) 2014; 42
Song (10.1016/j.psep.2022.07.046_bib147) 2018; 23
Hong (10.1016/j.psep.2022.07.046_bib64) 2016; 43
Khan (10.1016/j.psep.2022.07.046_bib81) 2007; 20
Zadeh (10.1016/j.psep.2022.07.046_bib186) 1965; 8
Pasman (10.1016/j.psep.2022.07.046_bib127) 2020; 66
Zhang (10.1016/j.psep.2022.07.046_bib188) 2017; 5
Rocchetta (10.1016/j.psep.2022.07.046_bib133) 2019; 241
Basri (10.1016/j.psep.2022.07.046_bib22) 2017; 23
Ferdous (10.1016/j.psep.2022.07.046_bib50) 2011; 31
Holmgren (10.1016/j.psep.2022.07.046_bib62) 2006
Arzaghi (10.1016/j.psep.2022.07.046_bib17) 2017; 79
Liu (10.1016/j.psep.2022.07.046_bib94) 2017; 33
Jing (10.1016/j.psep.2022.07.046_bib72) 2017; 111
Ellefsen (10.1016/j.psep.2022.07.046_bib48) 2019; 183
Böhm (10.1016/j.psep.2022.07.046_bib27) 2017; 8
Bonde (10.1016/j.psep.2022.07.046_bib28) 2013; 3
Garg (10.1016/j.psep.2022.07.046_bib51) 2013; 30
Chen (10.1016/j.psep.2022.07.046_bib40) 2017; 75
Yazdi (10.1016/j.psep.2022.07.046_bib182) 2021; 158
da Costa (10.1016/j.psep.2022.07.046_bib41) 2020; 195
Abbassi (10.1016/j.psep.2022.07.046_bib4) 2017; 159
Adumene (10.1016/j.psep.2022.07.046_bib7) 2021; 2
Khan (10.1016/j.psep.2022.07.046_bib82) 2006; 26
Holmstrom (10.1016/j.psep.2022.07.046_bib63) 2006; 25
Zhong (10.1016/j.psep.2022.07.046_bib191) 2019; 124
Norrozi (10.1016/j.psep.2022.07.046_bib114) 2014; 56
Zarei (10.1016/j.psep.2022.07.046_bib187) 2021; 211
Casal (10.1016/j.psep.2022.07.046_bib33) 2008
The Institution of Engineering and Technology (IET) (10.1016/j.psep.2022.07.046_bib149) 2017
Hameed (10.1016/j.psep.2022.07.046_bib57) 2016; 100
Yazdi (10.1016/j.psep.2022.07.046_bib179) 2019; 57
10.1016/j.psep.2022.07.046_bib45
Ren (10.1016/j.psep.2022.07.046_bib132) 2018; 6
Drew (10.1016/j.psep.2022.07.046_bib46) 2014
Ma (10.1016/j.psep.2022.07.046_bib98) 2019; 30
Bertolini (10.1016/j.psep.2022.07.046_bib24) 2009; 22
Chen (10.1016/j.psep.2022.07.046_bib37) 2019; 19
Harnly (10.1016/j.psep.2022.07.046_bib58) 1998; 17
Pui (10.1016/j.psep.2022.07.046_bib128) 2017; 159
Yazdi (10.1016/j.psep.2022.07.046_bib183) 2022
References_xml – volume: 56
  start-page: 306
  year: 2014
  end-page: 321
  ident: bib15
  article-title: Identification of the human factors contributing to maintenance failures in a petroleum operation
  publication-title: Hum. Factors
– year: 2021
  ident: bib111
  article-title: A sustainable perspective of optimal site selection of giant air ‑ purifiers in large metropolitan areas, Environment, Development and Sustainability
– volume: 23
  start-page: 84
  year: 2012
  end-page: 96
  ident: bib78
  article-title: Quantitative and qualitative methods in risk-based reliability assessing under epistemic uncertainty
  publication-title: South Afr. J. Ind. Eng.
– reference: Safi, S. Upgrading maintenance strategies for established plant. Asset Management Conference, 24–28 May, 2015, Sydney, NSW, Australia.
– volume: 218
  year: 2020
  ident: bib6
  article-title: An integrated dynamic failure assessment model for offshore components under microbiologically influenced corrosion
  publication-title: Ocean Eng.
– volume: 3
  start-page: 1152
  year: 2013
  end-page: 1155
  ident: bib28
  article-title: The organization and management of maintenance function and its effect over economics of an industry
  publication-title: Int. J. Eng. Res. Appl.
– year: 1993
  ident: bib171
  article-title: Advantages of a Computerized Maintenance Management System in Managing Plant Operations
– volume: 154
  year: 2020
  ident: bib11
  article-title: A data-driven model for milling tool remaining useful life prediction with convolutional and stacked LSTM network
  publication-title: Measurement
– volume: 16
  start-page: 561
  year: 2003
  end-page: 573
  ident: bib80
  article-title: Risk-based maintenance (RBM): a quantitative approach for maintenance/inspection scheduling and planning
  publication-title: J. Loss Prev. Process Ind.
– volume: 94
  start-page: 172
  year: 2015
  end-page: 179
  ident: bib2
  article-title: An integrated method for human error probability assessment during the maintenance of offshore facilities
  publication-title: Process Saf. Environ. Prot.
– volume: 111
  start-page: 1
  year: 2017
  end-page: 10
  ident: bib72
  article-title: A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox
  publication-title: Measurement
– start-page: 1
  year: 2019
  end-page: 14
  ident: bib170
  article-title: A transfer convolutional neural network for fault diagnosis based on ResNet-50
  publication-title: Neural Comput. Appl.
– volume: 80
  start-page: 293
  year: 2014
  end-page: 302
  ident: bib21
  article-title: Individual-related factors and management-related factors in aviation maintenance
  publication-title: Procedia Eng.
– year: 2012
  ident: bib109
  article-title: Predicting Outcomes of Investments in Maintenance and Repair of Federal Facilities
– reference: Society for Risk Analysis (SRA). 2018.
– volume: 9
  start-page: 295
  year: 2016
  end-page: 300
  ident: bib164
  article-title: Study on predictive maintenance strategy
  publication-title: Int. J. U. e Serv.
– reference: Bastos, P., Lopes, I., and Pires, L. A maintenance prediction system using data mining techniques. Proceedings of the World Congress on Engineering, July 4 - 6, 2012, London, U.K.
– volume: 66
  year: 2020
  ident: bib127
  article-title: How to treat expert judgment? With certainty it contains uncertainty!
  publication-title: J. Loss Prev. Process Ind.
– volume: 33
  start-page: 289
  year: 2015
  end-page: 303
  ident: bib192
  article-title: Analysis and assessment of the Qingdao crude oil vapor explosion accident: lessons learnt
  publication-title: J. Loss Prev. Process Ind.
– volume: 49
  start-page: 145
  year: 2017
  end-page: 154
  ident: bib91
  article-title: Optimal maintenance strategy for corroded subsea pipelines
  publication-title: J. Loss Prev. Process Ind.
– volume: 31
  start-page: 493
  year: 2013
  end-page: 498
  ident: bib118
  article-title: The influence of maintenance on some selected major accidents
  publication-title: Chem. Eng. Trans.
– start-page: 724
  year: 2019
  end-page: 731
  ident: bib177
  publication-title: Fuzzy-Based Failure Diagnostic Analysis in a Chemical Process Industry BT - 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018
– volume: 51
  start-page: 178
  year: 2018
  end-page: 185
  ident: bib38
  article-title: Condition monitoring of subsea pipelines considering stress observation and structural deterioration
  publication-title: Loss Prev. Process Ind.
– volume: 26
  start-page: 1060
  year: 2013
  end-page: 1070
  ident: bib119
  article-title: Maintenance-related major accidents: classification of causes and case study
  publication-title: J. Loss Prev. Process Ind.
– reference: Health and Safety Authority (HSA). 2007. Guidance for Directors and Senior Managers on their Responsibilities for Workplace Safety and Health. Dublin.
– volume: 30
  start-page: 1121
  year: 1998
  end-page: 1128
  ident: bib160
  article-title: Cost optimal preventive maintenance and replacement scheduling
  publication-title: IEE Trans.
– volume: 158
  start-page: 159
  year: 2021
  end-page: 171
  ident: bib182
  article-title: Operational subsea pipeline assessment affected by multiple defects of microbiologically influenced corrosion
  publication-title: Process Saf. Environ. Prot.
– volume: 38
  start-page: 285
  year: 2011
  end-page: 294
  ident: bib104
  article-title: An application of fuzzy fault tree analysis for spread mooring systems
  publication-title: Ocean Eng.
– volume: 30
  start-page: 397
  year: 2013
  end-page: 414
  ident: bib51
  article-title: Preventive maintenance scheduling of the pulping unit in a paper plant
  publication-title: Jpn. J. Ind. Appl. Math.
– volume: 66
  start-page: 7316
  year: 2018
  end-page: 7325
  ident: bib55
  article-title: Deep convolutional transfer learning network: a new method for intelligent fault diagnosis of machines with unlabeled data
  publication-title: IEEE Trans. Ind. Electron.
– year: 2010
  ident: bib129
  article-title: Reliability Assessment and Reliability-Based Inspection and Maintenance of Offshore Wind Turbines
– volume: 275
  start-page: 167
  year: 2018
  end-page: 179
  ident: bib172
  article-title: Remaining useful life estimation of engineered systems using vanilla LSTM neural networks
  publication-title: Neurocomputing
– volume: 8
  start-page: 338
  year: 1965
  end-page: 353
  ident: bib186
  article-title: Fuzzy Sets
  publication-title: Inf. Control.
– volume: 102
  start-page: 202
  year: 2014
  end-page: 213
  ident: bib125
  article-title: Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part I: theory
  publication-title: Reliab. Eng. Syst. Saf.
– year: 2015
  ident: bib117
  article-title: Maintenance strategies for major accident prevention
– volume: 83
  start-page: 236
  year: 2006
  end-page: 243
  ident: bib34
  article-title: Maintenance optimization for subsea oil pipelines
  publication-title: Int. J. Press. Vessels Pip.
– volume: 159
  start-page: 513
  year: 2017
  end-page: 521
  ident: bib128
  article-title: Risk-based maintenance of offshore managed pressure drilling (MPD) operation
  publication-title: Pet. Sci. Eng.
– year: 2020
  ident: bib141
  article-title: Sparse Auto-encoder with Regularization Method for Health Indicator Construction and Remaining Useful Life Prediction of Rolling Bearing
– volume: 8
  start-page: 980
  year: 2020
  end-page: 996
  ident: bib73
  article-title: A method for temporal fault tree analysis using intuitionistic fuzzy set and expert elicitation
  publication-title: IEEE Access
– reference: US Department of the Interior Bureau of Safety and Environmental Enforcement (BSEE), Investigation of November 16, 2012, Explosion, Fire and Fatalities at West Delta Block 32 Platform E 2013.
– volume: 49
  start-page: 843
  year: 2011
  end-page: 851
  ident: bib69
  article-title: Markov reliability model research of monitoring process in digital main control room of nuclear power plant
  publication-title: Saf. Sci.
– year: 2020
  ident: bib65
  article-title: Artificial neural network based photovoltaic fault detection algorithm integrating two bi-directional input parameters
  publication-title: Renew. Energy
– volume: 163
  start-page: 546
  year: 2018
  end-page: 555
  ident: bib95
  article-title: Optimal inspection planning of corroded pipelines using BN and GA
  publication-title: Pet. Sci. Eng.
– volume: 57
  start-page: 103
  year: 2008
  end-page: 112
  ident: bib83
  article-title: A new methodology for risk-based availability analysis
  publication-title: IEEE Trans. Reliab.
– year: 2013
  ident: bib99
  article-title: The 100 Largest Losses 1974-2013
– reference: US Chemical Safety and Hazard Investigation Board (US-CSIHB). 2016. Case Study, Williams Geismar Olefins Plant Reboiler Rupture and Fire Geismar, Louisiana.
– start-page: 2030
  year: 2018
  end-page: 2034
  ident: bib100
  article-title: A Deep Reinforcement Learning Approach for Early Classification of Time Series
– volume: 11
  start-page: 17
  year: 2017
  end-page: 26
  ident: bib18
  article-title: A review and analysis of plant maintenance and replacement strategies of manufacturing firms in Nigeria
  publication-title: Afr. J. Bus. Manag.
– volume: 57
  start-page: 17
  year: 2018
  end-page: 24
  ident: bib89
  article-title: Developing a risk-based maintenance model for a natural gas regulating and metering station using Bayesian network
  publication-title: Loss Prev. Process Ind.
– year: 2006
  ident: bib121
  article-title: Advanced vibration monitoring for wind turbine health management
  publication-title: Impact Technol.
– volume: 30
  year: 2019
  ident: bib98
  article-title: A novel bearing fault diagnosis method based on 2D image representation and transfer learning-convolutional neural network
  publication-title: Meas. Sci. Technol.
– volume: 31
  start-page: 1503
  year: 2019
  end-page: 1511
  ident: bib9
  article-title: ‘Fault classification and detection in wind turbine using Cuckoo-optimized support vector machine’
  publication-title: Neural Comput. Appl.
– year: 2021
  ident: bib115
  article-title: Applications of artificial intelligence in engineering and manufacturing: a systematic review
  publication-title: J. Intell. Manuf.
– volume: 20
  start-page: 2050042
  year: 2020
  ident: bib88
  article-title: Effects of fish nets on the nonlinear dynamic performance of a floating offshore wind turbine integrated with a steel fish farming cage
  publication-title: Int. J. Struct. Stab. Dyn.
– start-page: 70
  year: 2017
  end-page: 77
  ident: bib32
  article-title: Real-time predictive maintenance for wind turbines using Big Data frameworks
– start-page: 306
  year: 2017
  end-page: 311
  ident: bib102
  article-title: Prediction of Remaining Useful Lifetime (RUL) of turbofan engine using machine learning
– reference: Dong, Y., Gu, Y., Zhang, Y. 2008. Maintenance decision on steam turbine digital electro-hydraulic control system based on risk. Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008, September, 764–768.
– volume: 2
  start-page: 863
  year: 2010
  end-page: 873
  ident: bib8
  article-title: Reliability-centred maintenance methodology and application: a case study
  publication-title: Engineering
– volume: 13
  start-page: 1360
  year: 2016
  end-page: 1368
  ident: bib166
  article-title: Wind turbine gearbox failure identification with deep neural networks
  publication-title: IEEE Trans. Ind. Inform.
– volume: 6
  start-page: 50587
  year: 2018
  end-page: 50598
  ident: bib132
  article-title: Remaining useful life prediction for lithium-ion battery: a deep learning approach
  publication-title: IEEE Access
– volume: 23
  start-page: 85
  year: 2018
  end-page: 94
  ident: bib147
  article-title: Remaining useful life prediction of turbofan engine using hybrid model based on autoencoder and bidirectional long short-term memory
  publication-title: J. Shanghai Jiaotong Univ. Sci.
– start-page: 91
  year: 2022
  end-page: 137
  ident: bib52
  publication-title: Fuzzy Sets Theory and Human Reliability: Review, Applications, and Contributions BT - Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis
– volume: 213
  year: 2004
  ident: bib31
  article-title: Human factors guidance for selecting appropriate maintenance strategies for safety in the offshore oil and gas industry
  publication-title: HSE RR
– volume: 11
  start-page: 109
  year: 2002
  end-page: 124
  ident: bib103
  article-title: Guidelines for implementing predictive maintenance
  publication-title: Prod. Oper. Manag.
– volume: 43
  start-page: 10
  year: 2016
  end-page: 17
  ident: bib64
  article-title: A fuzzy logic and probabilistic hybrid approach to quantify the uncertainty in layer of protection analysis
  publication-title: J. Loss Prev. Process Ind.
– volume: 42
  start-page: 314
  year: 2014
  end-page: 334
  ident: bib87
  article-title: Prognostics and health management design for rotary machinery systems—reviews, methodology and applications
  publication-title: Mech. Syst. Signal Process.
– year: 2008
  ident: bib33
  article-title: Evaluation of the Effects and Consequences of Major Accidents in Industrial Plants
– year: 2011
  ident: bib130
  article-title: Risk Assessment: Theory, Methods, and Applications
– year: 2017
  ident: bib149
  article-title: The Manger’s Role in Safe Maintenance of Equipment
– volume: 46
  start-page: 445
  year: 2017
  end-page: 453
  ident: bib108
  article-title: Fault diagnosis and experimental analsyis of 4-stroke, 4-cylinder petrol engine using fault tree analysis
  publication-title: Int. J. Eng. Trends Technol.
– volume: 100
  start-page: 9
  year: 2016
  end-page: 21
  ident: bib57
  article-title: A risk-based shutdown inspection and maintenance interval estimation considering human error
  publication-title: Process Saf. Environ. Prot.
– volume: 17
  start-page: 756
  year: 2017
  end-page: 764
  ident: bib175
  article-title: Hybrid probabilistic risk assessment using fuzzy FTA and Fuzzy AHP in a process industry
  publication-title: J. Fail. Anal. Prev.
– start-page: 372
  year: 2014
  end-page: 378
  ident: bib79
  article-title: A Survey of Feature Selection and Feature Extraction Techniques in Machine Learning
– reference: U.S. Chemical Safety Board (CSB). 2018.
– year: 2014
  ident: bib46
  article-title: Human Factors in Engineering: Understanding the Impact of the Human in the System
– volume: 12
  start-page: 2189
  year: 2019
  end-page: 2200
  ident: bib145
  article-title: Application of artificial neural networks for transistor open-circuit fault diagnosis in three-phase rectifiers
  publication-title: IET Power Electron.
– reference: Kauschke, S., Janssen, F., Schweiser, I. 2015. On the challenges of real word data in predictive maintenance scenarios: a railway application. Proceedings of the LWA Workshops, Trier, Germany.
– year: 2020
  ident: bib165
  article-title: Real-time online fault diagnosis of rolling bearings based on KNN algorithm
  publication-title: J. Phys.: Conf. Ser.
– volume: 58
  start-page: 51
  year: 2019
  end-page: 59
  ident: bib178
  article-title: A methodology for enhancing the reliability of expert system applications in probabilistic risk assessment
  publication-title: J. Loss Prev. Process Ind.
– volume: 35
  year: 2019
  ident: bib176
  article-title: Footprint of knowledge acquisition improvement in failure diagnosis analysis
  publication-title: Qual. Reliab. Eng. Int.
– volume: 48
  start-page: 71
  year: 2018
  end-page: 77
  ident: bib131
  article-title: Bearing remaining useful life prediction based on deep autoencoder and deep neural networks
  publication-title: J. Manuf. Syst.
– volume: 52
  start-page: 7377
  year: 2014
  end-page: 7400
  ident: bib20
  article-title: Integrated maintenance planning and production scheduling with Markovian deteriorating machine conditions
  publication-title: Int. J. Prod. Res.
– volume: 48
  start-page: 544
  year: 2015
  end-page: 551
  ident: bib136
  article-title: Failure prediction methodology for improved proactive maintenance using Bayesian approach
  publication-title: IFAC-Pap.
– volume: 172
  start-page: 185
  year: 2018
  end-page: 194
  ident: bib189
  article-title: Reliability and maintenance policies for a two-stage shock model with self-healing mechanism
  publication-title: Reliab. Eng. Syst. Saf.
– volume: 101
  start-page: 35
  year: 2019
  end-page: 54
  ident: bib30
  article-title: Predictive maintenance using tree-based classification techniques: a case of railway switches
  publication-title: Transp. Res. Part C Emerg. Technol.
– year: 2015
  ident: bib148
  article-title: Organizational Issues and System Failures in Transportation
– year: 2005
  ident: bib153
  article-title: Case Study Giant Industries Refinery Explosions and Fire
– start-page: 598
  year: 2022
  end-page: 604
  ident: bib183
  publication-title: Intelligent Fuzzy Pythagorean Bayesian Decision Making of Maintenance Strategy Selection in Offshore Sectors BT - Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation
– year: 1986
  ident: bib42
  article-title: Human Reliability with Human Factors
– reference: .
– volume: 10
  start-page: 1210
  year: 2017
  ident: bib190
  article-title: Fault prediction and diagnosis of wind turbine generators using SCADA data
  publication-title: Energies
– volume: 96
  start-page: 775
  year: 2016
  end-page: 783
  ident: bib124
  article-title: A Markovian approach for modelling the effects of maintenance on downtime and failure risk of wind turbine components
  publication-title: Renew. Energy
– volume: 8
  start-page: 20786
  year: 2020
  end-page: 20798
  ident: bib126
  article-title: 'LSTM-based battery remaining useful life prediction with multi-channel charging profiles'
  publication-title: IEEE Access
– volume: 20
  start-page: 387
  year: 2007
  end-page: 395
  ident: bib81
  article-title: Modeling of BP Texas City refinery incident
  publication-title: J. Loss Prev. Process Ind.
– reference: US Chemical Safety and Hazard Investigation Board (US-CSHIB). 2015. Final Investigation Report, Caribbean Petroleum Tank Terminal Explosion and Multiple Tank Fires.
– volume: 315
  start-page: 18
  year: 2018
  end-page: 32
  ident: bib39
  article-title: Evidential KNN-based condition monitoring and early warning method with applications in power plant
  publication-title: Neurocomputing
– year: 2020
  ident: bib184
  article-title: Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset
  publication-title: Neurocomputing
– year: 2008
  ident: bib93
  article-title: The Research and Implementation of Maintenance Excellence on Clean Utility Systems in the Pharmaceutical Industry
– start-page: 14
  year: 2007
  end-page: 19
  ident: bib68
  article-title: Maintenance-related disaster cases in oil and gas industry
  publication-title: Feature
– reference: Chadwell, L.J., Blundon, C., Anderson, C., Cacho, M. 1998. Incidents Associated with Oil and Gas Operations: Outer Continental Shelf. OCS Report U.S. Department of the Interior Minerals Management Service Engineering and Operations Division, MMS 2000–021.
– reference: OSH Agency. 2008.
– volume: 65
  start-page: 5864
  year: 2017
  end-page: 5871
  ident: bib47
  article-title: Prognosis of bearing acoustic emission signals using supervised machine learning
  publication-title: IEEE Trans. Ind. Electron.
– volume: 34
  start-page: 267
  year: 2015
  end-page: 279
  ident: bib56
  article-title: A risk-based methodology to estimate shutdown interval considering system availability
  publication-title: Process Saf. Prog.
– year: 2010
  ident: bib120
  article-title: An improved maintenance management strategy for gas field equipment in Escravos gas-to-liquid plant, Nigeria
– volume: 131
  start-page: 89
  year: 2019
  end-page: 104
  ident: bib180
  article-title: Uncertainty handling in fault tree based risk assessment: State of the art and future perspectives
  publication-title: Process Saf. Environ. Prot.
– volume: 33
  start-page: 895
  year: 2016
  end-page: 903
  ident: bib142
  article-title: Human factors effects and analysis in maintenance: a power plant case study
  publication-title: Qual. Reliab. Eng. Int.
– volume: 17
  start-page: 414
  year: 2017
  ident: bib71
  article-title: An adaptive multi-sensor data fusion method based on deep convolutional neural networks for fault diagnosis of planetary gearbox
  publication-title: Sensors
– volume: 20
  start-page: 1693
  year: 2020
  ident: bib163
  article-title: Rolling-element bearing fault diagnosis using improved LeNet-5 network
  publication-title: Sensors
– volume: 241
  start-page: 291
  year: 2019
  end-page: 301
  ident: bib133
  article-title: A reinforcement learning framework for optimal operation and maintenance of power grids
  publication-title: Appl. Energy
– volume: 33
  start-page: 549
  year: 2017
  end-page: 559
  ident: bib75
  article-title: Fault location in ungrounded photovoltaic system using wavelets and ANN
  publication-title: IEEE Trans. Power Deliv.
– reference: US Chemical Safety and Hazard Investigation Board (US-CSHIB). 2014. Investigation report catastrophic rupture of heat exchanger Tesoro Anacortes Refinery.
– volume: 362
  start-page: 412
  year: 2019
  end-page: 423
  ident: bib19
  article-title: Multi-level optimization of maintenance plan for natural gas system exposed to deterioration process
  publication-title: Hazard. Mater.
– volume: 68
  start-page: 159
  year: 2016
  end-page: 171
  ident: bib123
  article-title: Application of Markov modelling and Monte Carlo simulation technique in failure probability estimation—a consideration of corrosion defects of internally corroded pipelines
  publication-title: Eng. Fail. Anal.
– volume: 232
  start-page: 2244
  year: 2018
  end-page: 2259
  ident: bib70
  article-title: Reliability evaluation of the Chinese train control system level 3 using a fuzzy approach
  publication-title: Proc. Inst. Mech. Eng. Part F. J. Rail Rapid Transit
– reference: Independent Transport Safety Regulator (ITSR). 2012. Sharing practice: A discussion on the relationship between risk and asset management. NSW rail industry seminar paper, Australia.
– year: 2018
  ident: bib61
  article-title: The 100 largest losses 1978-2017
  publication-title: Marsh Mclennan Co.
– volume: 190
  year: 2020
  ident: bib101
  article-title: Adaptive early classification of temporal sequences using deep reinforcement learning
  publication-title: Knowl. Based Syst.
– volume: 75
  start-page: 327
  year: 2017
  end-page: 333
  ident: bib40
  article-title: Deep neural networks-based rolling bearing fault diagnosis
  publication-title: Microelectron. Reliab.
– volume: 50
  start-page: 416
  year: 2017
  end-page: 428
  ident: bib67
  article-title: Development of a human reliability assessment technique for the maintenance procedures of marine and offshore operations
  publication-title: J. Loss Prev. Process Ind.
– year: 2012
  ident: bib74
  publication-title: Diagnostics and Prognostics of Engineering Systems: Methods and Techniques
– volume: 66
  start-page: 521
  year: 2011
  end-page: 530
  ident: bib185
  article-title: Risk analysis of flare flame-out condition in a gas process facility
  publication-title: Oil Gas. Sci. Technol.
– volume: 23
  start-page: 114
  year: 2017
  end-page: 143
  ident: bib22
  article-title: Preventive Maintenance (PM) planning: a review
  publication-title: J. Qual. Maint. Eng.
– volume: 24
  start-page: 576
  year: 2016
  end-page: 583
  ident: bib84
  article-title: Reliability evaluation and risk-based maintenance in a process plant
  publication-title: Procedia Technol.
– year: 2010
  ident: bib110
  article-title: Assault on America: A Decade of Petroleum Company Disaster, Pollution, and Profit
– volume: 9
  start-page: 757
  year: 2010
  end-page: 764
  ident: bib1
  article-title: Ecological risk-based performance evaluation of a waste stabilization pond
  publication-title: Environ. Eng. Manag. J.
– volume: 20
  start-page: 1361
  year: 2020
  ident: bib54
  article-title: Generative transfer learning for intelligent fault diagnosis of the wind turbine gearbox
  publication-title: Sensors
– volume: 159
  start-page: A-213
  year: 2017
  end-page: A-223
  ident: bib4
  article-title: Risk analysis of offshore transportation accident in Arctic waters
  publication-title: Int. J. Marit. Eng.
– year: 2020
  ident: bib97
  article-title: Deep convolution-based LSTM network for remaining useful life prediction
  publication-title: IEEE Trans. Ind. Inform.
– volume: 34
  start-page: 1445
  year: 2020
  end-page: 1458
  ident: bib143
  article-title: A sparse auto-encoder method based on compressed sensing and wavelet packet energy entropy for rolling bearing intelligent fault diagnosis
  publication-title: J. Mech. Sci. Technol.
– volume: 172
  start-page: 1
  year: 2018
  end-page: 11
  ident: bib92
  article-title: Remaining useful life estimation in prognostics using deep convolution neural networks
  publication-title: Reliab. Eng. Syst. Saf.
– volume: 218
  year: 2020
  ident: bib5
  article-title: An integrated dynamic failure assessment model for offshore components under microbiologically influenced corrosion
  publication-title: Ocean Eng.
– year: 2014
  ident: bib53
  article-title: On the Human Error in Maintenance: Risk Potential and Mitigation
– volume: 31
  start-page: 86
  year: 2011
  end-page: 107
  ident: bib50
  article-title: Fault and event tree analyses for process systems risk analysis: uncertainty handling formulations
  publication-title: Risk Anal.
– volume: 27
  start-page: 36
  year: 2013
  end-page: 49
  ident: bib13
  article-title: ‘A combination of support vector machine and k-nearest neighbors for machine fault detection’
  publication-title: Appl. Artif. Intell.
– volume: 56
  start-page: 825
  year: 2014
  end-page: 839
  ident: bib114
  article-title: Effects of cold environments on human reliability assessment in offshore oil and gas facilities
  publication-title: Hum. Factors
– reference: Nagam, Sai Sowmya, Rakesh Kumar Panda, Abheejeet Mohapatra, Sandeep Anand. 2020. Gaussian Process Regression based Fault Location in DC Microgrid. In 2020 IEEE Texas Power and Energy Conference (TPEC), 1–6. IEEE.
– volume: 22
  start-page: 131
  year: 2016
  end-page: 141
  ident: bib29
  article-title: Equipment failures and their contribution to industrial incidents and accidents in the manufacturing industry
  publication-title: Int. J. Occup. Saf. Ergon.
– volume: 201
  start-page: 82
  year: 2019
  end-page: 96
  ident: bib44
  article-title: Dynamic process fault detection and diagnosis based on a combined approach of hidden Markov and Bayesian network model
  publication-title: Chem. Eng. Sci.
– volume: 19
  start-page: 4342
  year: 2019
  ident: bib137
  article-title: 'Prediction of Motor Failure Time Using An Artificial Neural Network'
  publication-title: Sensors
– volume: 90
  start-page: 25
  year: 2005
  end-page: 29
  ident: bib36
  article-title: Optimization for condition-based maintenance with semi-Markov decision process
  publication-title: Reliab. Eng. Syst. Saf.
– volume: 26
  start-page: 203
  year: 2006
  end-page: 221
  ident: bib82
  article-title: Risk-based integrity and inspection modelling (RBIIM) of process components/system
  publication-title: Risk Anal.
– volume: 17
  start-page: 345
  year: 2004
  end-page: 356
  ident: bib174
  article-title: Optimal preventive maintenance scheduling in semiconductor manufacturing
  publication-title: IEEE Trans. Semicond. Manuf.
– volume: 19
  start-page: 1826
  year: 2019
  ident: bib37
  article-title: Transfer learning based fault diagnosis with missing data due to multi-rate sampling
  publication-title: Sensors
– volume: 33
  start-page: 2451
  year: 2017
  end-page: 2461
  ident: bib94
  article-title: An integrated preventive maintenance and production planning model with sequence-dependent setup costs and times
  publication-title: Qual. Reliab. Eng. Int.
– year: 2010
  ident: bib134
  article-title: A First Course in Probability
– volume: 79
  start-page: 928
  year: 2017
  end-page: 939
  ident: bib17
  article-title: Risk-based maintenance planning of subsea pipelines through fatigue crack growth monitoring
  publication-title: Eng. Fail. Anal.
– volume: 8
  year: 2017
  ident: bib27
  article-title: Remaining useful life prediction for railway switch engines using classification techniques
  publication-title: Int. J. Progn. Health Manag.
– volume: 25
  start-page: 505
  year: 2012
  end-page: 523
  ident: bib140
  article-title: Risk analysis for oil & gas pipelines: A sustainability assessment approach using fuzzy based bow-tie analysis
  publication-title: J. Loss Prev. Process Ind.
– reference: US Chemical Safety and Hazard Investigation Board (US-CSIHB). 2017. Investigation Report ExxonMobil Torrance Refinery Electrostatic Precipitator Explosion.
– volume: 183
  start-page: 240
  year: 2019
  end-page: 251
  ident: bib48
  article-title: Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
  publication-title: Reliab. Eng. Syst. Saf.
– volume: 195
  year: 2020
  ident: bib41
  article-title: Remaining useful lifetime prediction via deep domain adaptation
  publication-title: Reliab. Eng. Syst. Saf.
– volume: 5
  start-page: 14347
  year: 2017
  end-page: 14357
  ident: bib188
  article-title: Transfer learning with neural networks for bearing fault diagnosis in changing working conditions
  publication-title: IEEE Access
– volume: 48
  start-page: 235
  year: 2016
  end-page: 240
  ident: bib3
  article-title: Developing a quantitative risk-based methodology for maintenance scheduling using a Bayesian network
  publication-title: Chem. Eng. Trans.
– volume: 111
  start-page: 678
  year: 2017
  end-page: 686
  ident: bib167
  article-title: Failure probability analysis of the urban buried gas pipelines using Bayesian networks
  publication-title: Process Saf. Environ. Prot.
– volume: 119
  start-page: 251
  year: 2013
  end-page: 258
  ident: bib113
  article-title: The role of human error in risk analysis: application to pre-and post-maintenance procedures of process facilities
  publication-title: Reliab. Eng. Syst. Saf.
– volume: 17
  start-page: 32
  year: 1998
  end-page: 38
  ident: bib58
  article-title: Risk-based prioritization of maintenance repair work
  publication-title: Process Saf. Prog.
– volume: 42
  start-page: 822
  year: 2009
  end-page: 827
  ident: bib139
  article-title: An integrated production and maintenance planning model with time windows and shortage cost
  publication-title: IFAC Proc. Vol.
– year: 2014
  ident: bib169
  article-title: Plant maintenance strategies used by large manufacturing firms in Kenya
– reference: Noman, M.A., Nasr, E.S.A., Al-Shayea, A., and Kaid, H. 2018. Journal of King Saud University- Engineering Sciences.
– year: 2010
  ident: bib154
  article-title: Seven key lessons to prevent worker deaths during hot work in and around tanks
  publication-title: Saf. Bull.
– year: 2001
  ident: bib152
  article-title: Investigation report, refinery fire incident
  publication-title: Tosco Avon Refin.
– reference: U.S. Chemical Safety and Hazard Investigation Board (US-CSHIB). 2009. U.S. Chemical Safety and Hazard Investigation Board, Urgent Recommendations.
– volume: 159
  start-page: 108
  year: 2017
  end-page: 118
  ident: bib10
  article-title: Maintenance planning for a deteriorating production process
  publication-title: Reliab. Eng. Syst. Saf.
– volume: 57
  start-page: 194
  year: 2019
  end-page: 207
  ident: bib179
  article-title: Fuzzy dynamic risk-based maintenance investment optimization for offshore process facilities
  publication-title: Loss Prev. Process Ind.
– volume: 76
  start-page: 283
  year: 2016
  end-page: 293
  ident: bib90
  article-title: Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
  publication-title: Mech. Syst. Signal Process.
– volume: 18
  start-page: 69
  year: 2005
  end-page: 81
  ident: bib85
  article-title: Development of a risk-based maintenance (RBM) strategy for a power-generating plant
  publication-title: J. Loss Prev. Process Ind.
– volume: 4
  start-page: 1
  year: 2012
  end-page: 6
  ident: bib161
  article-title: Introduction: political risk and public law
  publication-title: J. Leg. Anal.
– volume: 191
  year: 2019
  ident: bib14
  article-title: ‘Managing engineering systems with large state and action spaces through deep reinforcement learning’
  publication-title: Reliab. Eng. Syst. Saf.
– year: 2020
  ident: bib26
  article-title: Prognostics and health management of industrial assets: current progress and road ahead
  publication-title: Front. Artif. Intell.
– volume: 2
  year: 2021
  ident: bib7
  article-title: Dynamic logistics disruption risk model for offshore supply vessel operations in Arctic waters
  publication-title: Marit. Transp. Res.
– volume: 151
  year: 2020
  ident: bib173
  article-title: An adaptive deep transfer learning method for bearing fault diagnosis
  publication-title: Measurement
– year: 2020
  ident: bib86
  article-title: System failure probability evaluation using fault tree analysis and expert opinions in intuitionistic fuzzy environment
  publication-title: J. Loss Prev. Process Ind.
– volume: 25
  start-page: 1080
  year: 2016
  end-page: 1087
  ident: bib162
  article-title: Reliability based maintenance strategy selection in process plants: a case study
  publication-title: Procedia Technol.
– volume: 10
  start-page: 147
  year: 2008
  end-page: 159
  ident: bib12
  article-title: Risk-based maintenance of gas expansion turbines in steel plant
  publication-title: Int. J. Risk Assess. Manag.
– reference: Kendon, P. 2016. Critical maintenance lessons from 5 major recent oil industry accidents.
– year: 2010
  ident: bib96
  article-title: Condition Monitoring of Power Transformer as Part of Power Plant Maintenance Process
– reference: Wang, Z.and Guo, S. 2009. Research on maintenance optimization for steam turbine digital electro-hydraulic control system. 3rd International Symposium on Intelligent Information Technology Application, IITA 2009, 2, 345–348.
– year: 2021
  ident: bib181
  article-title: Microbiologically influenced corrosion (MIC) management using Bayesian inference
  publication-title: Ocean Eng.
– volume: 4
  start-page: 239
  year: 2019
  end-page: 247
  ident: bib116
  article-title: Ship structural safety optimization: an integrated artificial intelligence and multi-criteria decision-making method
  publication-title: J. Struct. Integr. Maint.
– volume: 130
  year: 2019
  ident: bib105
  article-title: A robust reliability-based scheduling for the maintenance activities during planned shutdown under uncertainty of activity duration
  publication-title: Comput. Chem. Eng.
– year: 2016
  ident: bib144
  article-title: The human factors’ influence on maintenance reliability management
  publication-title: Uptime
– volume: 323
  start-page: 148
  year: 2019
  end-page: 156
  ident: bib49
  article-title: Bidirectional handshaking LSTM for remaining useful life prediction
  publication-title: Neurocomputing
– volume: 124
  start-page: 643
  year: 2019
  end-page: 663
  ident: bib191
  article-title: A reliability-and-cost-based fuzzy approach to optimize preventive maintenance scheduling for offshore wind farms
  publication-title: Mech. Syst. Signal Process.
– year: 2016
  ident: bib25
  article-title: Dynamic risk‐based maintenance for offshore processing facility
  publication-title: Process Saf. Prog.
– volume: 22
  start-page: 244
  year: 2009
  end-page: 253
  ident: bib24
  article-title: Development of Risk-Based Inspection and Maintenance procedures for an oil refinery
  publication-title: J. Loss Prev. Process Ind.
– year: 2006
  ident: bib62
  article-title: Maintenance-Related Incidents and Accidents: Aspects of Hazard Identification
– volume: 211
  year: 2021
  ident: bib187
  article-title: Importance of human reliability in process operation: a critical analysis
  publication-title: Reliab. Eng. Syst. Saf.
– year: 2002
  ident: bib43
  article-title: Engineering Maintenance: A Modern Approach
– volume: 60
  start-page: 3480
  year: 2011
  end-page: 3492
  ident: bib59
  article-title: State-of-the-art predictive maintenance techniques
  publication-title: IEEE Trans. Instrum. Meas.
– year: 2014
  ident: bib138
  article-title: Design and Execution of Preventive Maintenance Program
– volume: 25
  start-page: 345
  year: 2006
  end-page: 349
  ident: bib63
  article-title: CSB investigation of the explosions and fire at the BP Texas City refinery on March 23, 2005
  publication-title: Process Saf. Prog.
– start-page: 1
  year: 2020
  end-page: 22
  ident: bib106
  article-title: A machine learning methodology to predict alerts and maintenance interventions in roads
  publication-title: Road. Mater. Pavement Des.
– volume: 48
  start-page: 238
  year: 2010
  end-page: 247
  ident: bib16
  article-title: Risk-based maintenance policy selection using AHP and goal programming
  publication-title: Saf. Sci.
– volume: 6
  start-page: 50587
  year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib132
  article-title: Remaining useful life prediction for lithium-ion battery: a deep learning approach
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2018.2858856
– ident: 10.1016/j.psep.2022.07.046_bib122
– year: 2015
  ident: 10.1016/j.psep.2022.07.046_bib117
– volume: 65
  start-page: 5864
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib47
  article-title: Prognosis of bearing acoustic emission signals using supervised machine learning
  publication-title: IEEE Trans. Ind. Electron.
  doi: 10.1109/TIE.2017.2767551
– volume: 20
  start-page: 1361
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib54
  article-title: Generative transfer learning for intelligent fault diagnosis of the wind turbine gearbox
  publication-title: Sensors
  doi: 10.3390/s20051361
– volume: 76
  start-page: 283
  year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib90
  article-title: Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2016.02.007
– year: 2010
  ident: 10.1016/j.psep.2022.07.046_bib96
– volume: 3
  start-page: 1152
  issue: 2
  year: 2013
  ident: 10.1016/j.psep.2022.07.046_bib28
  article-title: The organization and management of maintenance function and its effect over economics of an industry
  publication-title: Int. J. Eng. Res. Appl.
– volume: 213
  year: 2004
  ident: 10.1016/j.psep.2022.07.046_bib31
  article-title: Human factors guidance for selecting appropriate maintenance strategies for safety in the offshore oil and gas industry
  publication-title: HSE RR
– start-page: 724
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib177
– volume: 159
  start-page: 108
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib10
  article-title: Maintenance planning for a deteriorating production process
  publication-title: Reliab. Eng. Syst. Saf.
  doi: 10.1016/j.ress.2016.11.001
– volume: 315
  start-page: 18
  year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib39
  article-title: Evidential KNN-based condition monitoring and early warning method with applications in power plant
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2018.05.018
– ident: 10.1016/j.psep.2022.07.046_bib66
– volume: 66
  start-page: 7316
  year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib55
  article-title: Deep convolutional transfer learning network: a new method for intelligent fault diagnosis of machines with unlabeled data
  publication-title: IEEE Trans. Ind. Electron.
  doi: 10.1109/TIE.2018.2877090
– volume: 33
  start-page: 895
  year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib142
  article-title: Human factors effects and analysis in maintenance: a power plant case study
  publication-title: Qual. Reliab. Eng. Int.
  doi: 10.1002/qre.2065
– volume: 131
  start-page: 89
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib180
  article-title: Uncertainty handling in fault tree based risk assessment: State of the art and future perspectives
  publication-title: Process Saf. Environ. Prot.
  doi: 10.1016/j.psep.2019.09.003
– volume: 124
  start-page: 643
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib191
  article-title: A reliability-and-cost-based fuzzy approach to optimize preventive maintenance scheduling for offshore wind farms
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2019.02.012
– ident: 10.1016/j.psep.2022.07.046_bib23
– year: 2010
  ident: 10.1016/j.psep.2022.07.046_bib120
– volume: 60
  start-page: 3480
  issue: 10
  year: 2011
  ident: 10.1016/j.psep.2022.07.046_bib59
  article-title: State-of-the-art predictive maintenance techniques
  publication-title: IEEE Trans. Instrum. Meas.
  doi: 10.1109/TIM.2009.2036347
– volume: 34
  start-page: 1445
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib143
  article-title: A sparse auto-encoder method based on compressed sensing and wavelet packet energy entropy for rolling bearing intelligent fault diagnosis
  publication-title: J. Mech. Sci. Technol.
  doi: 10.1007/s12206-020-0306-1
– year: 2014
  ident: 10.1016/j.psep.2022.07.046_bib53
– volume: 31
  start-page: 86
  year: 2011
  ident: 10.1016/j.psep.2022.07.046_bib50
  article-title: Fault and event tree analyses for process systems risk analysis: uncertainty handling formulations
  publication-title: Risk Anal.
  doi: 10.1111/j.1539-6924.2010.01475.x
– volume: 33
  start-page: 549
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib75
  article-title: Fault location in ungrounded photovoltaic system using wavelets and ANN
  publication-title: IEEE Trans. Power Deliv.
  doi: 10.1109/TPWRD.2017.2721903
– volume: 8
  start-page: 338
  year: 1965
  ident: 10.1016/j.psep.2022.07.046_bib186
  article-title: Fuzzy Sets
  publication-title: Inf. Control.
  doi: 10.1016/S0019-9958(65)90241-X
– volume: 119
  start-page: 251
  year: 2013
  ident: 10.1016/j.psep.2022.07.046_bib113
  article-title: The role of human error in risk analysis: application to pre-and post-maintenance procedures of process facilities
  publication-title: Reliab. Eng. Syst. Saf.
  doi: 10.1016/j.ress.2013.06.038
– year: 2021
  ident: 10.1016/j.psep.2022.07.046_bib181
  article-title: Microbiologically influenced corrosion (MIC) management using Bayesian inference
  publication-title: Ocean Eng.
  doi: 10.1016/j.oceaneng.2021.108852
– start-page: 372
  year: 2014
  ident: 10.1016/j.psep.2022.07.046_bib79
– volume: 183
  start-page: 240
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib48
  article-title: Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
  publication-title: Reliab. Eng. Syst. Saf.
  doi: 10.1016/j.ress.2018.11.027
– year: 2013
  ident: 10.1016/j.psep.2022.07.046_bib99
– year: 2006
  ident: 10.1016/j.psep.2022.07.046_bib121
  article-title: Advanced vibration monitoring for wind turbine health management
  publication-title: Impact Technol.
– year: 2005
  ident: 10.1016/j.psep.2022.07.046_bib153
– year: 2008
  ident: 10.1016/j.psep.2022.07.046_bib93
– year: 2002
  ident: 10.1016/j.psep.2022.07.046_bib43
– volume: 57
  start-page: 17
  year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib89
  article-title: Developing a risk-based maintenance model for a natural gas regulating and metering station using Bayesian network
  publication-title: Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2018.11.003
– volume: 42
  start-page: 822
  issue: 4
  year: 2009
  ident: 10.1016/j.psep.2022.07.046_bib139
  article-title: An integrated production and maintenance planning model with time windows and shortage cost
  publication-title: IFAC Proc. Vol.
  doi: 10.3182/20090603-3-RU-2001.0458
– volume: 8
  start-page: 980
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib73
  article-title: A method for temporal fault tree analysis using intuitionistic fuzzy set and expert elicitation
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2961953
– volume: 38
  start-page: 285
  year: 2011
  ident: 10.1016/j.psep.2022.07.046_bib104
  article-title: An application of fuzzy fault tree analysis for spread mooring systems
  publication-title: Ocean Eng.
  doi: 10.1016/j.oceaneng.2010.11.003
– volume: 48
  start-page: 544
  issue: 21
  year: 2015
  ident: 10.1016/j.psep.2022.07.046_bib136
  article-title: Failure prediction methodology for improved proactive maintenance using Bayesian approach
  publication-title: IFAC-Pap.
– ident: 10.1016/j.psep.2022.07.046_bib159
– start-page: 306
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib102
– volume: 46
  start-page: 445
  issue: 8
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib108
  article-title: Fault diagnosis and experimental analsyis of 4-stroke, 4-cylinder petrol engine using fault tree analysis
  publication-title: Int. J. Eng. Trends Technol.
  doi: 10.14445/22315381/IJETT-V46P278
– volume: 111
  start-page: 1
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib72
  article-title: A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox
  publication-title: Measurement
  doi: 10.1016/j.measurement.2017.07.017
– volume: 16
  start-page: 561
  issue: 6
  year: 2003
  ident: 10.1016/j.psep.2022.07.046_bib80
  article-title: Risk-based maintenance (RBM): a quantitative approach for maintenance/inspection scheduling and planning
  publication-title: J. Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2003.08.011
– start-page: 91
  year: 2022
  ident: 10.1016/j.psep.2022.07.046_bib52
– volume: 17
  start-page: 345
  issue: 3
  year: 2004
  ident: 10.1016/j.psep.2022.07.046_bib174
  article-title: Optimal preventive maintenance scheduling in semiconductor manufacturing
  publication-title: IEEE Trans. Semicond. Manuf.
  doi: 10.1109/TSM.2004.831948
– ident: 10.1016/j.psep.2022.07.046_bib151
– volume: 33
  start-page: 289
  year: 2015
  ident: 10.1016/j.psep.2022.07.046_bib192
  article-title: Analysis and assessment of the Qingdao crude oil vapor explosion accident: lessons learnt
  publication-title: J. Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2015.01.004
– volume: 52
  start-page: 7377
  issue: 24
  year: 2014
  ident: 10.1016/j.psep.2022.07.046_bib20
  article-title: Integrated maintenance planning and production scheduling with Markovian deteriorating machine conditions
  publication-title: Int. J. Prod. Res.
  doi: 10.1080/00207543.2014.931609
– volume: 4
  start-page: 1
  issue: 1
  year: 2012
  ident: 10.1016/j.psep.2022.07.046_bib161
  article-title: Introduction: political risk and public law
  publication-title: J. Leg. Anal.
  doi: 10.1093/jla/las007
– ident: 10.1016/j.psep.2022.07.046_bib35
– volume: 49
  start-page: 843
  issue: 6
  year: 2011
  ident: 10.1016/j.psep.2022.07.046_bib69
  article-title: Markov reliability model research of monitoring process in digital main control room of nuclear power plant
  publication-title: Saf. Sci.
  doi: 10.1016/j.ssci.2011.01.014
– volume: 275
  start-page: 167
  year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib172
  article-title: Remaining useful life estimation of engineered systems using vanilla LSTM neural networks
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2017.05.063
– volume: 158
  start-page: 159
  year: 2021
  ident: 10.1016/j.psep.2022.07.046_bib182
  article-title: Operational subsea pipeline assessment affected by multiple defects of microbiologically influenced corrosion
  publication-title: Process Saf. Environ. Prot.
  doi: 10.1016/j.psep.2021.11.032
– volume: 323
  start-page: 148
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib49
  article-title: Bidirectional handshaking LSTM for remaining useful life prediction
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2018.09.076
– volume: 31
  start-page: 1503
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib9
  article-title: ‘Fault classification and detection in wind turbine using Cuckoo-optimized support vector machine’
  publication-title: Neural Comput. Appl.
  doi: 10.1007/s00521-018-3690-z
– volume: 48
  start-page: 71
  year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib131
  article-title: Bearing remaining useful life prediction based on deep autoencoder and deep neural networks
  publication-title: J. Manuf. Syst.
  doi: 10.1016/j.jmsy.2018.04.008
– volume: 23
  start-page: 85
  year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib147
  article-title: Remaining useful life prediction of turbofan engine using hybrid model based on autoencoder and bidirectional long short-term memory
  publication-title: J. Shanghai Jiaotong Univ. Sci.
  doi: 10.1007/s12204-018-2027-5
– year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib25
  article-title: Dynamic risk‐based maintenance for offshore processing facility
  publication-title: Process Saf. Prog.
  doi: 10.1002/prs.11829
– volume: 66
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib127
  article-title: How to treat expert judgment? With certainty it contains uncertainty!
  publication-title: J. Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2020.104200
– volume: 25
  start-page: 1080
  year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib162
  article-title: Reliability based maintenance strategy selection in process plants: a case study
  publication-title: Procedia Technol.
  doi: 10.1016/j.protcy.2016.08.211
– year: 2021
  ident: 10.1016/j.psep.2022.07.046_bib111
– year: 2001
  ident: 10.1016/j.psep.2022.07.046_bib152
  article-title: Investigation report, refinery fire incident
  publication-title: Tosco Avon Refin.
– volume: 17
  start-page: 756
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib175
  article-title: Hybrid probabilistic risk assessment using fuzzy FTA and Fuzzy AHP in a process industry
  publication-title: J. Fail. Anal. Prev.
  doi: 10.1007/s11668-017-0305-4
– volume: 163
  start-page: 546
  year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib95
  article-title: Optimal inspection planning of corroded pipelines using BN and GA
  publication-title: Pet. Sci. Eng.
  doi: 10.1016/j.petrol.2018.01.030
– volume: 101
  start-page: 35
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib30
  article-title: Predictive maintenance using tree-based classification techniques: a case of railway switches
  publication-title: Transp. Res. Part C Emerg. Technol.
  doi: 10.1016/j.trc.2019.02.001
– ident: 10.1016/j.psep.2022.07.046_bib77
– volume: 30
  start-page: 397
  issue: 2
  year: 2013
  ident: 10.1016/j.psep.2022.07.046_bib51
  article-title: Preventive maintenance scheduling of the pulping unit in a paper plant
  publication-title: Jpn. J. Ind. Appl. Math.
  doi: 10.1007/s13160-012-0099-4
– volume: 57
  start-page: 194
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib179
  article-title: Fuzzy dynamic risk-based maintenance investment optimization for offshore process facilities
  publication-title: Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2018.11.014
– volume: 218
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib5
  article-title: An integrated dynamic failure assessment model for offshore components under microbiologically influenced corrosion
  publication-title: Ocean Eng.
  doi: 10.1016/j.oceaneng.2020.108082
– volume: 23
  start-page: 114
  issue: 2
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib22
  article-title: Preventive Maintenance (PM) planning: a review
  publication-title: J. Qual. Maint. Eng.
  doi: 10.1108/JQME-04-2016-0014
– volume: 18
  start-page: 69
  issue: 2
  year: 2005
  ident: 10.1016/j.psep.2022.07.046_bib85
  article-title: Development of a risk-based maintenance (RBM) strategy for a power-generating plant
  publication-title: J. Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2005.01.002
– volume: 9
  start-page: 295
  issue: 4
  year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib164
  article-title: Study on predictive maintenance strategy
  publication-title: Int. J. U. e Serv.
– volume: 10
  start-page: 147
  issue: 1–2
  year: 2008
  ident: 10.1016/j.psep.2022.07.046_bib12
  article-title: Risk-based maintenance of gas expansion turbines in steel plant
  publication-title: Int. J. Risk Assess. Manag.
  doi: 10.1504/IJRAM.2008.021059
– volume: 151
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib173
  article-title: An adaptive deep transfer learning method for bearing fault diagnosis
  publication-title: Measurement
  doi: 10.1016/j.measurement.2019.107227
– volume: 27
  start-page: 36
  year: 2013
  ident: 10.1016/j.psep.2022.07.046_bib13
  article-title: ‘A combination of support vector machine and k-nearest neighbors for machine fault detection’
  publication-title: Appl. Artif. Intell.
  doi: 10.1080/08839514.2013.747370
– ident: 10.1016/j.psep.2022.07.046_bib146
– volume: 57
  start-page: 103
  year: 2008
  ident: 10.1016/j.psep.2022.07.046_bib83
  article-title: A new methodology for risk-based availability analysis
  publication-title: IEEE Trans. Reliab.
  doi: 10.1109/TR.2007.911248
– ident: 10.1016/j.psep.2022.07.046_bib168
  doi: 10.1109/IITA.2009.49
– volume: 17
  start-page: 414
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib71
  article-title: An adaptive multi-sensor data fusion method based on deep convolutional neural networks for fault diagnosis of planetary gearbox
  publication-title: Sensors
  doi: 10.3390/s17020414
– volume: 26
  start-page: 1060
  year: 2013
  ident: 10.1016/j.psep.2022.07.046_bib119
  article-title: Maintenance-related major accidents: classification of causes and case study
  publication-title: J. Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2013.04.002
– volume: 11
  start-page: 17
  issue: 2
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib18
  article-title: A review and analysis of plant maintenance and replacement strategies of manufacturing firms in Nigeria
  publication-title: Afr. J. Bus. Manag.
  doi: 10.5897/AJBM2016.8198
– volume: 100
  start-page: 9
  year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib57
  article-title: A risk-based shutdown inspection and maintenance interval estimation considering human error
  publication-title: Process Saf. Environ. Prot.
  doi: 10.1016/j.psep.2015.11.011
– start-page: 1
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib106
  article-title: A machine learning methodology to predict alerts and maintenance interventions in roads
  publication-title: Road. Mater. Pavement Des.
– volume: 56
  start-page: 825
  issue: 5
  year: 2014
  ident: 10.1016/j.psep.2022.07.046_bib114
  article-title: Effects of cold environments on human reliability assessment in offshore oil and gas facilities
  publication-title: Hum. Factors
  doi: 10.1177/0018720813512328
– volume: 190
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib101
  article-title: Adaptive early classification of temporal sequences using deep reinforcement learning
  publication-title: Knowl. Based Syst.
  doi: 10.1016/j.knosys.2019.105290
– volume: 51
  start-page: 178
  year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib38
  article-title: Condition monitoring of subsea pipelines considering stress observation and structural deterioration
  publication-title: Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2017.12.006
– volume: 20
  start-page: 387
  issue: 4–6
  year: 2007
  ident: 10.1016/j.psep.2022.07.046_bib81
  article-title: Modeling of BP Texas City refinery incident
  publication-title: J. Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2007.04.037
– volume: 34
  start-page: 267
  year: 2015
  ident: 10.1016/j.psep.2022.07.046_bib56
  article-title: A risk-based methodology to estimate shutdown interval considering system availability
  publication-title: Process Saf. Prog.
  doi: 10.1002/prs.11722
– volume: 362
  start-page: 412
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib19
  article-title: Multi-level optimization of maintenance plan for natural gas system exposed to deterioration process
  publication-title: Hazard. Mater.
  doi: 10.1016/j.jhazmat.2018.09.044
– volume: 25
  start-page: 345
  issue: 4
  year: 2006
  ident: 10.1016/j.psep.2022.07.046_bib63
  article-title: CSB investigation of the explosions and fire at the BP Texas City refinery on March 23, 2005
  publication-title: Process Saf. Prog.
  doi: 10.1002/prs.10158
– volume: 23
  start-page: 84
  issue: 2
  year: 2012
  ident: 10.1016/j.psep.2022.07.046_bib78
  article-title: Quantitative and qualitative methods in risk-based reliability assessing under epistemic uncertainty
  publication-title: South Afr. J. Ind. Eng.
– year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib61
  article-title: The 100 largest losses 1978-2017
  publication-title: Marsh Mclennan Co.
– year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib65
  article-title: Artificial neural network based photovoltaic fault detection algorithm integrating two bi-directional input parameters
  publication-title: Renew. Energy
  doi: 10.1016/j.renene.2020.04.023
– volume: 68
  start-page: 159
  year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib123
  article-title: Application of Markov modelling and Monte Carlo simulation technique in failure probability estimation—a consideration of corrosion defects of internally corroded pipelines
  publication-title: Eng. Fail. Anal.
  doi: 10.1016/j.engfailanal.2016.06.004
– year: 2010
  ident: 10.1016/j.psep.2022.07.046_bib129
– volume: 22
  start-page: 131
  issue: 1
  year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib29
  article-title: Equipment failures and their contribution to industrial incidents and accidents in the manufacturing industry
  publication-title: Int. J. Occup. Saf. Ergon.
  doi: 10.1080/10803548.2015.1116814
– start-page: 70
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib32
– ident: 10.1016/j.psep.2022.07.046_bib157
– volume: 9
  start-page: 757
  issue: 6
  year: 2010
  ident: 10.1016/j.psep.2022.07.046_bib1
  article-title: Ecological risk-based performance evaluation of a waste stabilization pond
  publication-title: Environ. Eng. Manag. J.
  doi: 10.30638/eemj.2010.101
– volume: 218
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib6
  article-title: An integrated dynamic failure assessment model for offshore components under microbiologically influenced corrosion
  publication-title: Ocean Eng.
  doi: 10.1016/j.oceaneng.2020.108082
– volume: 56
  start-page: 306
  issue: 2
  year: 2014
  ident: 10.1016/j.psep.2022.07.046_bib15
  article-title: Identification of the human factors contributing to maintenance failures in a petroleum operation
  publication-title: Hum. Factors
  doi: 10.1177/0018720813491424
– volume: 10
  start-page: 1210
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib190
  article-title: Fault prediction and diagnosis of wind turbine generators using SCADA data
  publication-title: Energies
  doi: 10.3390/en10081210
– year: 2010
  ident: 10.1016/j.psep.2022.07.046_bib134
– volume: 30
  start-page: 1121
  year: 1998
  ident: 10.1016/j.psep.2022.07.046_bib160
  article-title: Cost optimal preventive maintenance and replacement scheduling
  publication-title: IEE Trans.
  doi: 10.1080/07408179808966568
– start-page: 2030
  year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib100
– volume: 8
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib27
  article-title: Remaining useful life prediction for railway switch engines using classification techniques
  publication-title: Int. J. Progn. Health Manag.
– volume: 66
  start-page: 521
  issue: 3
  year: 2011
  ident: 10.1016/j.psep.2022.07.046_bib185
  article-title: Risk analysis of flare flame-out condition in a gas process facility
  publication-title: Oil Gas. Sci. Technol.
  doi: 10.2516/ogst/2010027
– volume: 96
  start-page: 775
  year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib124
  article-title: A Markovian approach for modelling the effects of maintenance on downtime and failure risk of wind turbine components
  publication-title: Renew. Energy
  doi: 10.1016/j.renene.2016.05.022
– ident: 10.1016/j.psep.2022.07.046_bib135
– year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib144
  article-title: The human factors’ influence on maintenance reliability management
  publication-title: Uptime
– volume: 201
  start-page: 82
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib44
  article-title: Dynamic process fault detection and diagnosis based on a combined approach of hidden Markov and Bayesian network model
  publication-title: Chem. Eng. Sci.
  doi: 10.1016/j.ces.2019.01.060
– start-page: 14
  year: 2007
  ident: 10.1016/j.psep.2022.07.046_bib68
  article-title: Maintenance-related disaster cases in oil and gas industry
  publication-title: Feature
– ident: 10.1016/j.psep.2022.07.046_bib112
– volume: 5
  start-page: 14347
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib188
  article-title: Transfer learning with neural networks for bearing fault diagnosis in changing working conditions
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2017.2720965
– volume: 154
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib11
  article-title: A data-driven model for milling tool remaining useful life prediction with convolutional and stacked LSTM network
  publication-title: Measurement
  doi: 10.1016/j.measurement.2019.107461
– year: 2015
  ident: 10.1016/j.psep.2022.07.046_bib148
– volume: 159
  start-page: 513
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib128
  article-title: Risk-based maintenance of offshore managed pressure drilling (MPD) operation
  publication-title: Pet. Sci. Eng.
  doi: 10.1016/j.petrol.2017.09.066
– ident: 10.1016/j.psep.2022.07.046_bib158
– volume: 211
  year: 2021
  ident: 10.1016/j.psep.2022.07.046_bib187
  article-title: Importance of human reliability in process operation: a critical analysis
  publication-title: Reliab. Eng. Syst. Saf.
  doi: 10.1016/j.ress.2021.107607
– ident: 10.1016/j.psep.2022.07.046_bib45
  doi: 10.1109/ICAL.2008.4636252
– volume: 20
  start-page: 2050042
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib88
  article-title: Effects of fish nets on the nonlinear dynamic performance of a floating offshore wind turbine integrated with a steel fish farming cage
  publication-title: Int. J. Struct. Stab. Dyn.
  doi: 10.1142/S021945542050042X
– volume: 195
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib41
  article-title: Remaining useful lifetime prediction via deep domain adaptation
  publication-title: Reliab. Eng. Syst. Saf.
  doi: 10.1016/j.ress.2019.106682
– start-page: 1
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib170
  article-title: A transfer convolutional neural network for fault diagnosis based on ResNet-50
  publication-title: Neural Comput. Appl.
– volume: 43
  start-page: 10
  year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib64
  article-title: A fuzzy logic and probabilistic hybrid approach to quantify the uncertainty in layer of protection analysis
  publication-title: J. Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2016.04.006
– year: 2010
  ident: 10.1016/j.psep.2022.07.046_bib154
  article-title: Seven key lessons to prevent worker deaths during hot work in and around tanks
  publication-title: Saf. Bull.
– volume: 2
  year: 2021
  ident: 10.1016/j.psep.2022.07.046_bib7
  article-title: Dynamic logistics disruption risk model for offshore supply vessel operations in Arctic waters
  publication-title: Marit. Transp. Res.
– volume: 19
  start-page: 1826
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib37
  article-title: Transfer learning based fault diagnosis with missing data due to multi-rate sampling
  publication-title: Sensors
  doi: 10.3390/s19081826
– volume: 26
  start-page: 203
  issue: 1
  year: 2006
  ident: 10.1016/j.psep.2022.07.046_bib82
  article-title: Risk-based integrity and inspection modelling (RBIIM) of process components/system
  publication-title: Risk Anal.
  doi: 10.1111/j.1539-6924.2006.00705.x
– year: 2021
  ident: 10.1016/j.psep.2022.07.046_bib115
  article-title: Applications of artificial intelligence in engineering and manufacturing: a systematic review
  publication-title: J. Intell. Manuf.
– volume: 35
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib176
  article-title: Footprint of knowledge acquisition improvement in failure diagnosis analysis
  publication-title: Qual. Reliab. Eng. Int.
  doi: 10.1002/qre.2408
– volume: 172
  start-page: 185
  issue: 1
  year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib189
  article-title: Reliability and maintenance policies for a two-stage shock model with self-healing mechanism
  publication-title: Reliab. Eng. Syst. Saf.
  doi: 10.1016/j.ress.2017.12.013
– volume: 33
  start-page: 2451
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib94
  article-title: An integrated preventive maintenance and production planning model with sequence-dependent setup costs and times
  publication-title: Qual. Reliab. Eng. Int.
  doi: 10.1002/qre.2202
– volume: 13
  start-page: 1360
  year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib166
  article-title: Wind turbine gearbox failure identification with deep neural networks
  publication-title: IEEE Trans. Ind. Inform.
  doi: 10.1109/TII.2016.2607179
– volume: 22
  start-page: 244
  year: 2009
  ident: 10.1016/j.psep.2022.07.046_bib24
  article-title: Development of Risk-Based Inspection and Maintenance procedures for an oil refinery
  publication-title: J. Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2009.01.003
– volume: 102
  start-page: 202
  year: 2014
  ident: 10.1016/j.psep.2022.07.046_bib125
  article-title: Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part I: theory
  publication-title: Reliab. Eng. Syst. Saf.
  doi: 10.1016/j.ress.2014.04.005
– volume: 19
  start-page: 4342
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib137
  article-title: 'Prediction of Motor Failure Time Using An Artificial Neural Network'
  publication-title: Sensors
  doi: 10.3390/s19194342
– volume: 191
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib14
  article-title: ‘Managing engineering systems with large state and action spaces through deep reinforcement learning’
  publication-title: Reliab. Eng. Syst. Saf.
  doi: 10.1016/j.ress.2019.04.036
– volume: 94
  start-page: 172
  year: 2015
  ident: 10.1016/j.psep.2022.07.046_bib2
  article-title: An integrated method for human error probability assessment during the maintenance of offshore facilities
  publication-title: Process Saf. Environ. Prot.
  doi: 10.1016/j.psep.2015.01.010
– volume: 79
  start-page: 928
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib17
  article-title: Risk-based maintenance planning of subsea pipelines through fatigue crack growth monitoring
  publication-title: Eng. Fail. Anal.
  doi: 10.1016/j.engfailanal.2017.06.003
– year: 2014
  ident: 10.1016/j.psep.2022.07.046_bib46
– volume: 232
  start-page: 2244
  year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib70
  article-title: Reliability evaluation of the Chinese train control system level 3 using a fuzzy approach
  publication-title: Proc. Inst. Mech. Eng. Part F. J. Rail Rapid Transit
  doi: 10.1177/0954409718769193
– volume: 90
  start-page: 25
  year: 2005
  ident: 10.1016/j.psep.2022.07.046_bib36
  article-title: Optimization for condition-based maintenance with semi-Markov decision process
  publication-title: Reliab. Eng. Syst. Saf.
  doi: 10.1016/j.ress.2004.11.001
– ident: 10.1016/j.psep.2022.07.046_bib155
– start-page: 598
  year: 2022
  ident: 10.1016/j.psep.2022.07.046_bib183
– volume: 48
  start-page: 235
  year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib3
  article-title: Developing a quantitative risk-based methodology for maintenance scheduling using a Bayesian network
  publication-title: Chem. Eng. Trans.
– ident: 10.1016/j.psep.2022.07.046_bib60
– volume: 8
  start-page: 20786
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib126
  article-title: 'LSTM-based battery remaining useful life prediction with multi-channel charging profiles'
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.2968939
– year: 1986
  ident: 10.1016/j.psep.2022.07.046_bib42
– year: 2014
  ident: 10.1016/j.psep.2022.07.046_bib138
– volume: 83
  start-page: 236
  year: 2006
  ident: 10.1016/j.psep.2022.07.046_bib34
  article-title: Maintenance optimization for subsea oil pipelines
  publication-title: Int. J. Press. Vessels Pip.
  doi: 10.1016/j.ijpvp.2006.02.013
– volume: 31
  start-page: 493
  year: 2013
  ident: 10.1016/j.psep.2022.07.046_bib118
  article-title: The influence of maintenance on some selected major accidents
  publication-title: Chem. Eng. Trans.
– volume: 172
  start-page: 1
  year: 2018
  ident: 10.1016/j.psep.2022.07.046_bib92
  article-title: Remaining useful life estimation in prognostics using deep convolution neural networks
  publication-title: Reliab. Eng. Syst. Saf.
  doi: 10.1016/j.ress.2017.11.021
– year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib184
  article-title: Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2020.03.041
– ident: 10.1016/j.psep.2022.07.046_bib107
  doi: 10.1109/TPEC48276.2020.9042542
– year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib149
– volume: 48
  start-page: 238
  year: 2010
  ident: 10.1016/j.psep.2022.07.046_bib16
  article-title: Risk-based maintenance policy selection using AHP and goal programming
  publication-title: Saf. Sci.
  doi: 10.1016/j.ssci.2009.09.005
– year: 2010
  ident: 10.1016/j.psep.2022.07.046_bib110
– volume: 4
  start-page: 239
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib116
  article-title: Ship structural safety optimization: an integrated artificial intelligence and multi-criteria decision-making method
  publication-title: J. Struct. Integr. Maint.
– year: 2012
  ident: 10.1016/j.psep.2022.07.046_bib74
– year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib141
– ident: 10.1016/j.psep.2022.07.046_bib156
– year: 2014
  ident: 10.1016/j.psep.2022.07.046_bib169
– volume: 24
  start-page: 576
  year: 2016
  ident: 10.1016/j.psep.2022.07.046_bib84
  article-title: Reliability evaluation and risk-based maintenance in a process plant
  publication-title: Procedia Technol.
  doi: 10.1016/j.protcy.2016.05.117
– year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib26
  article-title: Prognostics and health management of industrial assets: current progress and road ahead
  publication-title: Front. Artif. Intell.
  doi: 10.3389/frai.2020.578613
– year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib97
  article-title: Deep convolution-based LSTM network for remaining useful life prediction
  publication-title: IEEE Trans. Ind. Inform.
– year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib165
  article-title: Real-time online fault diagnosis of rolling bearings based on KNN algorithm
  publication-title: J. Phys.: Conf. Ser.
– ident: 10.1016/j.psep.2022.07.046_bib150
– volume: 111
  start-page: 678
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib167
  article-title: Failure probability analysis of the urban buried gas pipelines using Bayesian networks
  publication-title: Process Saf. Environ. Prot.
  doi: 10.1016/j.psep.2017.08.040
– volume: 130
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib105
  article-title: A robust reliability-based scheduling for the maintenance activities during planned shutdown under uncertainty of activity duration
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2019.106562
– volume: 25
  start-page: 505
  year: 2012
  ident: 10.1016/j.psep.2022.07.046_bib140
  article-title: Risk analysis for oil & gas pipelines: A sustainability assessment approach using fuzzy based bow-tie analysis
  publication-title: J. Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2011.12.007
– volume: 58
  start-page: 51
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib178
  article-title: A methodology for enhancing the reliability of expert system applications in probabilistic risk assessment
  publication-title: J. Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2019.02.001
– volume: 80
  start-page: 293
  year: 2014
  ident: 10.1016/j.psep.2022.07.046_bib21
  article-title: Individual-related factors and management-related factors in aviation maintenance
  publication-title: Procedia Eng.
  doi: 10.1016/j.proeng.2014.09.088
– volume: 241
  start-page: 291
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib133
  article-title: A reinforcement learning framework for optimal operation and maintenance of power grids
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2019.03.027
– year: 2012
  ident: 10.1016/j.psep.2022.07.046_bib109
– volume: 11
  start-page: 109
  issue: 2
  year: 2002
  ident: 10.1016/j.psep.2022.07.046_bib103
  article-title: Guidelines for implementing predictive maintenance
  publication-title: Prod. Oper. Manag.
  doi: 10.1111/j.1937-5956.2002.tb00486.x
– year: 2006
  ident: 10.1016/j.psep.2022.07.046_bib62
– volume: 42
  start-page: 314
  year: 2014
  ident: 10.1016/j.psep.2022.07.046_bib87
  article-title: Prognostics and health management design for rotary machinery systems—reviews, methodology and applications
  publication-title: Mech. Syst. Signal Process.
  doi: 10.1016/j.ymssp.2013.06.004
– year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib86
  article-title: System failure probability evaluation using fault tree analysis and expert opinions in intuitionistic fuzzy environment
  publication-title: J. Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2020.104236
– volume: 49
  start-page: 145
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib91
  article-title: Optimal maintenance strategy for corroded subsea pipelines
  publication-title: J. Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2017.06.019
– year: 2011
  ident: 10.1016/j.psep.2022.07.046_bib130
– volume: 17
  start-page: 32
  issue: 1
  year: 1998
  ident: 10.1016/j.psep.2022.07.046_bib58
  article-title: Risk-based prioritization of maintenance repair work
  publication-title: Process Saf. Prog.
  doi: 10.1002/prs.680170108
– volume: 50
  start-page: 416
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib67
  article-title: Development of a human reliability assessment technique for the maintenance procedures of marine and offshore operations
  publication-title: J. Loss Prev. Process Ind.
  doi: 10.1016/j.jlp.2017.10.015
– volume: 2
  start-page: 863
  year: 2010
  ident: 10.1016/j.psep.2022.07.046_bib8
  article-title: Reliability-centred maintenance methodology and application: a case study
  publication-title: Engineering
  doi: 10.4236/eng.2010.211109
– volume: 30
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib98
  article-title: A novel bearing fault diagnosis method based on 2D image representation and transfer learning-convolutional neural network
  publication-title: Meas. Sci. Technol.
  doi: 10.1088/1361-6501/ab0793
– volume: 159
  start-page: A-213
  issue: A3
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib4
  article-title: Risk analysis of offshore transportation accident in Arctic waters
  publication-title: Int. J. Marit. Eng.
– volume: 75
  start-page: 327
  year: 2017
  ident: 10.1016/j.psep.2022.07.046_bib40
  article-title: Deep neural networks-based rolling bearing fault diagnosis
  publication-title: Microelectron. Reliab.
  doi: 10.1016/j.microrel.2017.03.006
– ident: 10.1016/j.psep.2022.07.046_bib76
– year: 2008
  ident: 10.1016/j.psep.2022.07.046_bib33
– volume: 12
  start-page: 2189
  year: 2019
  ident: 10.1016/j.psep.2022.07.046_bib145
  article-title: Application of artificial neural networks for transistor open-circuit fault diagnosis in three-phase rectifiers
  publication-title: IET Power Electron.
  doi: 10.1049/iet-pel.2018.5330
– year: 1993
  ident: 10.1016/j.psep.2022.07.046_bib171
– volume: 20
  start-page: 1693
  year: 2020
  ident: 10.1016/j.psep.2022.07.046_bib163
  article-title: Rolling-element bearing fault diagnosis using improved LeNet-5 network
  publication-title: Sensors
  doi: 10.3390/s20061693
SSID ssj0001271
Score 2.4815524
SecondaryResourceType review_article
Snippet Engineering infrastructure incorporate complex systems, hazardous materials and often operated by human beings, making them prone to catastrophic accidents....
SourceID crossref
elsevier
SourceType Enrichment Source
Index Database
Publisher
StartPage 776
SubjectTerms Decision-making
Maintenance operations
Process industry
Risk analysis
System safety
Title Risk-based and predictive maintenance planning of engineering infrastructure: Existing quantitative techniques and future directions
URI https://dx.doi.org/10.1016/j.psep.2022.07.046
Volume 165
WOSCitedRecordID wos000864040900008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVESC
  databaseName: Elsevier SD Freedom Collection Journals 2021
  customDbUrl:
  eissn: 1744-3598
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001271
  issn: 0957-5820
  databaseCode: AIEXJ
  dateStart: 19961101
  isFulltext: true
  titleUrlDefault: https://www.sciencedirect.com
  providerName: Elsevier
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3Pb9MwFLbKxgEOCAYTGz_kA7cqKHGcOtmtQkGAxIRgoHKKHDtWO9a0NOtUeubv42_i-UcSb6AJkLhElRMnbr6vz8_ue99D6BlLKkmzmAYspXFAYRIIeKlLhrGQRkKlTKbSFJtgx8fpZJK9Gwx-tLkwF2esrtPNJlv-V6ihDcDWqbN_AXd3U2iAzwA6HAF2OP4R8O9nzZdAT06yFQGQM2PUhnOuxSFqkySwdMWKtLNY9ZqEOjhrxa2o7Hpl8tbzjTYDcOrrmtcmJU3fq9N-tRrPVppkaCfIbgvQOb0uGWHYcKUDRPX1Xn6dTgWzYhFeSMC4hG_QzGzs93pbVtOemVtuKxEP86kXUfSZb6VpfbuY8vmcy77DN1ty-xOfuvB9t8sBC-Q2jMttvbXpN32sk93DZEGSEvvHTmUtOKM00LKEl0z8KPGMNGMjb75ntlzpL1OJ3dU4fb5sKq1rSogReaVXdLuNJ_BBD0SPgxDj0mU30C5hSQZWdnf8Op-86XyDiJgtgG7gLo3LRhxefdLvXSXP_Tm5i-64dQseW77dQ4Oq3kO3PTXLPbSf-6BiN2s099H3npIYwMc9JbFHSdxSEi8U9iiJL1PyCLeExD4hcU9I8wxLSNwT8gH6-DI_efEqcNU_AhGH4XkgmVJMCBZFHMxJRFlZ0kiNBC2zpArjTCQEVuuweiZSMC4rwpRO66aCqTgmMor30U69qKuHCEcK_GBaUvBLKM10fW1OVSaUrpgFxkgdoKh90YVw0vi6QstZ0cZAnhYanEKDU4SsAHAO0LDrs7TCMNdenbT4Fc61tS-gALpd0-_wH_s9Qrf6X9FjtAMYVU_QTXFxPmtWTx0rfwLZSNJM
linkProvider Elsevier
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Risk-based+and+predictive+maintenance+planning+of+engineering+infrastructure%3A+Existing+quantitative+techniques+and+future+directions&rft.jtitle=Process+safety+and+environmental+protection&rft.au=Abbassi%2C+Rouzbeh&rft.au=Arzaghi%2C+Ehsan&rft.au=Yazdi%2C+Mohammad&rft.au=Aryai%2C+Vahid&rft.date=2022-09-01&rft.pub=Elsevier+Ltd&rft.issn=0957-5820&rft.eissn=1744-3598&rft.volume=165&rft.spage=776&rft.epage=790&rft_id=info:doi/10.1016%2Fj.psep.2022.07.046&rft.externalDocID=S0957582022006589
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0957-5820&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0957-5820&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0957-5820&client=summon