Prognostics and health management: A review from the perspectives of design, development and decision

•The life cycle of prognostics and health management (PHM) is structuredinto DEsign, DEvelopment and DEcision phases (DE3).•Essences, key activities and interconnections of PHM DE3aresummarized.•Gaps, challengesand future researchdirectionsof PHM DE3are proposed. Prognostics and health management (P...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Reliability engineering & system safety Jg. 217; S. 108063
Hauptverfasser:	Hu, Yang, Miao, Xuewen, Si, Yong, Pan, Ershun, Zio, Enrico
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Barking Elsevier Ltd 01.01.2022 Elsevier BV Elsevier
Schlagworte:	Engineering Sciences PHM Decision PHM Design PHM Development PHM practical prospects Prognostics and health management (PHM) Reliability engineering Reviewing State-of-the-art reviews PHM Development PHM Design PHM Decision PHM practical prospects Prognostics and health management (PHM) Prognostics and health management
ISSN:	0951-8320, 1879-0836
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Abstract	•The life cycle of prognostics and health management (PHM) is structuredinto DEsign, DEvelopment and DEcision phases (DE3).•Essences, key activities and interconnections of PHM DE3aresummarized.•Gaps, challengesand future researchdirectionsof PHM DE3are proposed. Prognostics and health management (PHM) is an enabling technology used to maintain the reliable, efficient, economic and safe operation of engineering equipment, systems and structures. In the last 5 years, many PHM review works have been published for discussing and summarizing the state-of-the-art of different approaches and methods, usage modes and applications of PHM. This paper intends to enrich the PHM state-of-the-art by reviewing the PHM works from three different points of view: DEsign, DEvelopment and DEcision (DE3). We dig into the problem essence of the DE3 of PHM by reviewing the research work, extracting the research conclusions from 235 related publications, and exposing the current methodologies and solution frameworks for addressing the DE3 issues. We identify the gaps and challenges of existing PHM concerning the DE3, and point out issues and opportunities of future PHM researches. We expect this review work to provide clear directions for assisting the researchers and practitioners in advancing the PHM methodologies and maturing them into practical PHM technologies.
AbstractList	Prognostics and health management (PHM) is an enabling technology used to maintain the reliable, efficient, economic and safe operation of engineering equipment, systems and structures. In the last 5 years, many PHM review works have been published for discussing and summarizing the state-of-the-art of different approaches and methods, usage modes and applications of PHM. This paper intends to enrich the PHM state-of-the-art by reviewing the PHM works from three different points of view: DEsign, DEvelopment and DEcision (DE3). We dig into the problem essence of the DE3 of PHM by reviewing the research work, extracting the research conclusions from 235 related publications, and exposing the current methodologies and solution frameworks for addressing the DE3 issues. We identify the gaps and challenges of existing PHM concerning the DE3, and point out issues and opportunities of future PHM researches. We expect this review work to provide clear directions for assisting the researchers and practitioners in advancing the PHM methodologies and maturing them into practical PHM technologies. •The life cycle of prognostics and health management (PHM) is structuredinto DEsign, DEvelopment and DEcision phases (DE3).•Essences, key activities and interconnections of PHM DE3aresummarized.•Gaps, challengesand future researchdirectionsof PHM DE3are proposed. Prognostics and health management (PHM) is an enabling technology used to maintain the reliable, efficient, economic and safe operation of engineering equipment, systems and structures. In the last 5 years, many PHM review works have been published for discussing and summarizing the state-of-the-art of different approaches and methods, usage modes and applications of PHM. This paper intends to enrich the PHM state-of-the-art by reviewing the PHM works from three different points of view: DEsign, DEvelopment and DEcision (DE3). We dig into the problem essence of the DE3 of PHM by reviewing the research work, extracting the research conclusions from 235 related publications, and exposing the current methodologies and solution frameworks for addressing the DE3 issues. We identify the gaps and challenges of existing PHM concerning the DE3, and point out issues and opportunities of future PHM researches. We expect this review work to provide clear directions for assisting the researchers and practitioners in advancing the PHM methodologies and maturing them into practical PHM technologies.
ArticleNumber	108063
Author	Si, Yong Miao, Xuewen Pan, Ershun Hu, Yang Zio, Enrico
Author_xml	– sequence: 1 givenname: Yang surname: Hu fullname: Hu, Yang email: yang.hu@polimi.it organization: Science and Technology on Complex Aviation System Simulation Laboratory, Beijing, China – sequence: 2 givenname: Xuewen surname: Miao fullname: Miao, Xuewen organization: Science and Technology on Complex Aviation System Simulation Laboratory, Beijing, China – sequence: 3 givenname: Yong surname: Si fullname: Si, Yong organization: Science and Technology on Complex Aviation System Simulation Laboratory, Beijing, China – sequence: 4 givenname: Ershun surname: Pan fullname: Pan, Ershun organization: Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China – sequence: 5 givenname: Enrico surname: Zio fullname: Zio, Enrico organization: Energy Department, Politecnico di Milano, Milan, Italy
BackLink	https://minesparis-psl.hal.science/hal-03481385$$DView record in HAL
BookMark	eNp9kUFr3DAQhUVJoZu0f6AnQU-BeiNZtiSHXpbQJoGF9tCehSyPdrV4JUdStuTfV46bSw45DQzve8y8d47OfPCA0GdK1pRQfnVYR0hpXZOaloUknL1DKypFVxHJ-Blaka6llWQ1-YDOUzoQQpquFSsEv2LY-ZCyMwlrP-A96DHv8VF7vYMj-HyNNzjCycFfbGM44rwHPEFME5jsTpBwsHiA5Hb-a5knGMM0Y89mAxiXXPAf0XurxwSf_s8L9OfH9983d9X25-39zWZbGcbrXDGgwhJtu972ltq2pTWHnkstB0N1xxpjuSa0kZbqlouWddD3ohGc11Y3omMX6HLx3etRTdEddXxSQTt1t9mqeUdYIymT7YkW7ZdFO8Xw8Agpq0N4jL6cp2pOOy6IaGRRyUVlYkgpglXGZZ3LTzlqNypK1FyAOqi5ADUXoJYCClq_Ql8uehP6tkBQYiqhR5WMA29gcLEErobg3sL_AXL-oVY
CitedBy_id	crossref_primary_10_1155_2022_5344461 crossref_primary_10_1007_s13198_025_02858_6 crossref_primary_10_3390_s24010165 crossref_primary_10_1016_j_knosys_2024_112836 crossref_primary_10_1016_j_psep_2024_12_068 crossref_primary_10_1109_TIM_2023_3271746 crossref_primary_10_1016_j_est_2025_116002 crossref_primary_10_1088_1361_6501_ad8fc3 crossref_primary_10_1177_1748006X221107191 crossref_primary_10_1109_JSEN_2023_3326487 crossref_primary_10_1016_j_enconman_2022_116598 crossref_primary_10_1016_j_istruc_2023_105518 crossref_primary_10_1016_j_measurement_2022_111875 crossref_primary_10_1080_09544828_2023_2177937 crossref_primary_10_1016_j_rineng_2025_106671 crossref_primary_10_1016_j_ress_2022_108676 crossref_primary_10_1016_j_eswa_2023_121832 crossref_primary_10_1016_j_ress_2023_109123 crossref_primary_10_1016_j_ress_2025_111613 crossref_primary_10_3390_e25040646 crossref_primary_10_1016_j_ress_2025_110924 crossref_primary_10_1038_s41598_025_94924_z crossref_primary_10_1177_09544054251343472 crossref_primary_10_3390_jsan13050064 crossref_primary_10_1016_j_ymssp_2023_110320 crossref_primary_10_1016_j_ress_2024_110250 crossref_primary_10_1016_j_ijpe_2025_109531 crossref_primary_10_1016_j_est_2025_118275 crossref_primary_10_1109_TITS_2025_3557088 crossref_primary_10_3390_jmse12060965 crossref_primary_10_1016_j_aei_2024_102922 crossref_primary_10_1088_1361_6501_ad099b crossref_primary_10_1109_ACCESS_2024_3391823 crossref_primary_10_1016_j_conengprac_2024_105938 crossref_primary_10_1088_3050_2454_adbc65 crossref_primary_10_1007_s10845_024_02536_7 crossref_primary_10_1007_s10462_024_10748_9 crossref_primary_10_3390_e25030442 crossref_primary_10_1016_j_jmsy_2024_05_021 crossref_primary_10_1016_j_ress_2022_108424 crossref_primary_10_3390_s23167239 crossref_primary_10_1016_j_ijhydene_2025_01_437 crossref_primary_10_1016_j_ejor_2024_09_010 crossref_primary_10_1016_j_ress_2023_109372 crossref_primary_10_1016_j_ress_2022_109075 crossref_primary_10_1017_aer_2025_31 crossref_primary_10_3390_s25185682 crossref_primary_10_1016_j_ress_2024_110189 crossref_primary_10_1002_qre_3673 crossref_primary_10_1016_j_prime_2022_100060 crossref_primary_10_1109_TR_2023_3311436 crossref_primary_10_3390_en17225523 crossref_primary_10_1109_JAS_2024_124290 crossref_primary_10_1016_j_aei_2025_103835 crossref_primary_10_1016_j_ress_2024_110749 crossref_primary_10_1016_j_engappai_2025_110240 crossref_primary_10_2196_44641 crossref_primary_10_1016_j_ress_2022_108499 crossref_primary_10_1016_j_ress_2022_108379 crossref_primary_10_1016_j_energy_2022_125278 crossref_primary_10_1088_1361_6501_ad78f5 crossref_primary_10_1097_MD_0000000000035752 crossref_primary_10_1016_j_ymssp_2025_112403 crossref_primary_10_1016_j_ress_2023_109344 crossref_primary_10_1016_j_ress_2023_109861 crossref_primary_10_1109_TR_2024_3356816 crossref_primary_10_1002_qre_3445 crossref_primary_10_1016_j_ress_2025_111064 crossref_primary_10_1016_j_ress_2024_110198 crossref_primary_10_1016_j_ress_2024_110751 crossref_primary_10_1016_j_jmsy_2023_08_005 crossref_primary_10_1088_1361_6501_ad8940 crossref_primary_10_1007_s42524_024_0145_3 crossref_primary_10_1016_j_ress_2024_110190 crossref_primary_10_1109_TR_2024_3488792 crossref_primary_10_1016_j_engappai_2024_108319 crossref_primary_10_1016_j_ress_2024_110072 crossref_primary_10_1016_j_ress_2023_109516 crossref_primary_10_1016_j_ress_2022_108525 crossref_primary_10_1016_j_ress_2022_108648 crossref_primary_10_1088_2631_8695_adbe26 crossref_primary_10_1016_j_ress_2023_109199 crossref_primary_10_1016_j_ress_2025_111106 crossref_primary_10_1016_j_ress_2025_111227 crossref_primary_10_1109_JIOT_2024_3357750 crossref_primary_10_1016_j_ress_2023_109592 crossref_primary_10_1109_JIOT_2024_3377221 crossref_primary_10_1016_j_eswa_2023_119907 crossref_primary_10_1049_cim2_12122 crossref_primary_10_1007_s13344_024_0017_y crossref_primary_10_1080_17480272_2025_2551742 crossref_primary_10_1088_1361_6501_acf874 crossref_primary_10_1016_j_inffus_2025_103128 crossref_primary_10_1038_s41598_025_93165_4 crossref_primary_10_3390_app15116299 crossref_primary_10_1109_TIM_2023_3317472 crossref_primary_10_1016_j_ress_2025_111371 crossref_primary_10_1016_j_eswa_2023_121358 crossref_primary_10_1016_j_ress_2023_109321 crossref_primary_10_1016_j_ress_2022_109047 crossref_primary_10_1016_j_ress_2024_110602 crossref_primary_10_1016_j_ress_2024_110328 crossref_primary_10_1016_j_eswa_2024_124341 crossref_primary_10_1109_JESTPE_2024_3476980 crossref_primary_10_1016_j_ress_2025_111485 crossref_primary_10_1016_j_knosys_2024_112408 crossref_primary_10_1016_j_ress_2025_111004 crossref_primary_10_3390_electronics13234682 crossref_primary_10_3390_machines12060367 crossref_primary_10_1007_s11760_024_03534_1 crossref_primary_10_1080_03610918_2025_2450721 crossref_primary_10_1016_j_ijhydene_2022_04_048 crossref_primary_10_1007_s11668_025_02194_8 crossref_primary_10_1016_j_engappai_2025_110674 crossref_primary_10_1016_j_ress_2024_109954 crossref_primary_10_1088_1361_6501_ad762e crossref_primary_10_1016_j_ress_2023_109338 crossref_primary_10_3390_math11183837 crossref_primary_10_3390_app14062656 crossref_primary_10_1016_j_ress_2023_109333 crossref_primary_10_1016_j_ress_2023_109850 crossref_primary_10_1080_24725854_2025_2561566 crossref_primary_10_3390_machines13010060 crossref_primary_10_3389_fmtec_2022_886518 crossref_primary_10_1109_TR_2023_3295943 crossref_primary_10_1007_s10845_024_02386_3 crossref_primary_10_1016_j_measurement_2025_117359 crossref_primary_10_1016_j_ress_2024_110387 crossref_primary_10_1016_j_ress_2024_110663 crossref_primary_10_1007_s11518_025_5658_8 crossref_primary_10_1016_j_autcon_2024_105648 crossref_primary_10_1016_j_engappai_2023_106707 crossref_primary_10_1115_1_4069146 crossref_primary_10_1177_14759217231197806 crossref_primary_10_3390_s22187070 crossref_primary_10_3390_s23239494 crossref_primary_10_1016_j_ress_2023_109306 crossref_primary_10_1016_j_aei_2024_102772 crossref_primary_10_3390_s23084009 crossref_primary_10_3390_su17010230 crossref_primary_10_3390_app13127186 crossref_primary_10_1016_j_ress_2024_110423 crossref_primary_10_1088_1361_6501_adcce4 crossref_primary_10_1016_j_ress_2023_109141 crossref_primary_10_1016_j_ress_2023_109660 crossref_primary_10_1007_s42524_022_0206_4 crossref_primary_10_1016_j_ymssp_2025_112683 crossref_primary_10_1016_j_ymssp_2025_113254 crossref_primary_10_1016_j_ress_2025_111264 crossref_primary_10_1016_j_isatra_2022_09_031 crossref_primary_10_1007_s11276_024_03804_3 crossref_primary_10_1007_s40684_025_00694_4 crossref_primary_10_1088_1742_6596_2569_1_012056 crossref_primary_10_3390_machines13030224 crossref_primary_10_1016_j_compositesb_2024_111863 crossref_primary_10_3390_computers14090356 crossref_primary_10_1016_j_enbuild_2024_114239 crossref_primary_10_3390_electronics11152364 crossref_primary_10_1109_JIOT_2024_3421365 crossref_primary_10_3390_a18030130 crossref_primary_10_1016_j_aei_2025_103528 crossref_primary_10_1109_TIM_2023_3251391 crossref_primary_10_1016_j_rcim_2022_102357 crossref_primary_10_1016_j_ress_2022_108322 crossref_primary_10_1109_TIM_2023_3282669 crossref_primary_10_3390_s22114217 crossref_primary_10_1109_JIOT_2024_3435917 crossref_primary_10_1016_j_ress_2024_110313 crossref_primary_10_1016_j_pnucene_2025_105792 crossref_primary_10_1016_j_ress_2025_111424 crossref_primary_10_1177_1748006X251348686 crossref_primary_10_1016_j_ress_2023_109151 crossref_primary_10_1109_TIM_2022_3218546 crossref_primary_10_1109_TIM_2024_3481588 crossref_primary_10_3390_act14080382
Cites_doi	10.1016/j.ress.2016.06.003 10.1016/j.engappai.2020.103678 10.1016/j.compchemeng.2019.05.029 10.1016/j.ress.2019.106598 10.36001/phmconf.2016.v8i1.2583 10.1016/j.ress.2021.107536 10.1016/j.cja.2019.07.003 10.1016/j.ress.2014.09.014 10.1016/j.jpowsour.2014.01.085 10.1016/j.ress.2015.12.003 10.1016/j.asoc.2019.105950 10.1016/j.ress.2018.06.021 10.1109/TR.2016.2591504 10.1016/j.neucom.2020.04.045 10.1016/j.rser.2021.111102 10.1016/j.procir.2016.10.128 10.1016/j.ymssp.2017.11.024 10.1016/j.ejor.2018.02.033 10.1016/j.ress.2019.04.036 10.1016/j.ijepes.2014.10.042 10.1080/0960085X.2017.1398880 10.1109/JIOT.2019.2957029 10.1016/j.ress.2017.04.011 10.1016/j.ejor.2019.10.049 10.1016/j.cie.2019.04.051 10.1016/j.ress.2016.11.022 10.1109/TR.2015.2500681 10.1109/JSEN.2015.2430361 10.1016/j.ress.2020.107194 10.1016/j.aei.2012.02.001 10.1016/j.ymssp.2018.05.050 10.1016/j.ress.2016.05.006 10.1016/j.neucom.2020.11.063 10.1016/j.ress.2019.106520 10.1016/j.cie.2020.107056 10.1016/j.microrel.2007.02.016 10.1016/j.ress.2017.05.024 10.1016/j.apenergy.2017.04.048 10.1002/sys.20008 10.1016/j.ress.2019.03.018 10.1016/j.measurement.2020.107929 10.1016/j.swevo.2018.02.010 10.1007/s12206-018-0201-1 10.1016/j.cie.2014.12.022 10.1016/j.probengmech.2013.01.003 10.1016/j.aei.2020.101041 10.1002/inst.12102 10.1016/j.jmsy.2020.07.008 10.1016/j.ymssp.2016.02.056 10.1016/j.knosys.2019.05.020 10.3390/en12244802 10.1016/j.ress.2021.107530 10.1016/j.knosys.2015.05.014 10.1016/j.ymssp.2019.106612 10.1080/0305215X.2018.1552951 10.1109/TCYB.2020.2977374 10.1016/j.ejor.2019.09.047 10.1016/j.ymssp.2017.11.016 10.1007/s00163-015-0195-y 10.1109/TPEL.2016.2618422 10.1080/17477778.2018.1524269 10.1016/j.ress.2015.10.013 10.1108/JMTM-01-2013-0003 10.1016/j.microrel.2020.113676 10.1080/09537287.2016.1171920 10.1016/j.ymssp.2012.09.015 10.1016/j.rser.2019.109254 10.1016/j.ymssp.2016.11.004 10.1016/j.ress.2018.04.025 10.1016/j.ymssp.2019.106587 10.1016/j.ress.2016.08.009 10.1109/ACCESS.2018.2837621 10.1109/TII.2019.2912427
ContentType	Journal Article
Copyright	2021 Copyright Elsevier BV Jan 2022 Distributed under a Creative Commons Attribution 4.0 International License
Copyright_xml	– notice: 2021 – notice: Copyright Elsevier BV Jan 2022 – notice: Distributed under a Creative Commons Attribution 4.0 International License
DBID	AAYXX CITATION 7ST 7TB 8FD C1K FR3 SOI 1XC
DOI	10.1016/j.ress.2021.108063
DatabaseName	CrossRef Environment Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database Environmental Sciences and Pollution Management Engineering Research Database Environment Abstracts Hyper Article en Ligne (HAL)
DatabaseTitle	CrossRef Engineering Research Database Technology Research Database Mechanical & Transportation Engineering Abstracts Environment Abstracts Environmental Sciences and Pollution Management
DatabaseTitleList	Engineering Research Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1879-0836
ExternalDocumentID	oai:HAL:hal-03481385v1 10_1016_j_ress_2021_108063 S0951832021005652
GroupedDBID	--K --M .~1 0R~ 123 1B1 1~. 1~5 29P 4.4 457 4G. 5VS 7-5 71M 8P~ 9JN 9JO AABNK AACTN AAEDT AAEDW AAFJI AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO ABEFU ABFNM ABJNI ABMAC ABMMH ABTAH ABXDB ABYKQ ACDAQ ACGFS ACIWK ACNNM ACRLP ADBBV ADEZE ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFRAH AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AIEXJ AIKHN AITUG AJBFU AJOXV AKYCK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOMHK ASPBG AVARZ AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HVGLF HZ~ IHE J1W JJJVA KOM LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. PRBVW Q38 R2- RIG ROL RPZ SDF SDG SES SET SEW SPC SPCBC SSB SSO SST SSZ T5K TN5 WUQ XPP ZMT ZY4 ~G- 9DU AATTM AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD 7ST 7TB 8FD AGCQF C1K FR3 SOI 1XC
ID	FETCH-LOGICAL-c362t-3e17f0af9bfbf1f55126eb68a8dc1a934cf6a0148f1a567539ebb747662fa4793
ISICitedReferencesCount	220
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000702360100024&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0951-8320
IngestDate	Tue Oct 14 20:44:09 EDT 2025 Wed Aug 13 06:59:46 EDT 2025 Sat Nov 29 07:04:32 EST 2025 Tue Nov 18 22:12:20 EST 2025 Fri Feb 23 02:39:43 EST 2024
IsPeerReviewed	true
IsScholarly	true
Keywords	PHM Development PHM Design PHM Decision PHM practical prospects Prognostics and health management (PHM) Prognostics and health management
Language	English
License	Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0
LinkModel	OpenURL
MergedId	FETCHMERGED-LOGICAL-c362t-3e17f0af9bfbf1f55126eb68a8dc1a934cf6a0148f1a567539ebb747662fa4793
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0002-7108-637X 0000-0002-6255-6376
PQID	2619670748
PQPubID	2045406
ParticipantIDs	hal_primary_oai_HAL_hal_03481385v1 proquest_journals_2619670748 crossref_citationtrail_10_1016_j_ress_2021_108063 crossref_primary_10_1016_j_ress_2021_108063 elsevier_sciencedirect_doi_10_1016_j_ress_2021_108063
PublicationCentury	2000
PublicationDate	January 2022 2022-01-00 20220101 2022-01
PublicationDateYYYYMMDD	2022-01-01
PublicationDate_xml	– month: 01 year: 2022 text: January 2022
PublicationDecade	2020
PublicationPlace	Barking
PublicationPlace_xml	– name: Barking
PublicationTitle	Reliability engineering & system safety
PublicationYear	2022
Publisher	Elsevier Ltd Elsevier BV Elsevier
Publisher_xml	– name: Elsevier Ltd – name: Elsevier BV – name: Elsevier
References	Dahmann, Roedler (bib0016) 2016; 19 Termite, Baraldi, Al-Dahidi, Bellani, Compare, Zio (bib0028) 2019; 12 Niu, Jiang (bib0089) 2017; 168 Li, Verhagen, Curran (bib0013) 2020; 193 Bolón-Canedo, Sánchez-Maroño, Alonso-Betanzos (bib0071) 2015; 86 Jouin, Gouriveau, Hissel, Péra, Zerhouni (bib0002) 2016; 148 Fink, Wang, Svensén, Dersin, Lee, Ducoffe (bib0040) 2020; 92 Dumargue, Pougeon, Masse (bib0099) 2016 Zhang, Si, Hu, Lei (bib0066) 2018; 271 Maier, Emery, Hilliard (bib0018) 2004; 7 Huynh, Grall, Berenguer (bib0011) 2017; 159 Syan, Ramsoobag (bib0046) 2019; 190 Xia, Dong, Xiao, Du, Pan, Xi (bib0004) 2018; 178 (bib0017) 2011 Keller, Peck, Swearingen, Gilbertson (bib0057) 2010 Hu, Baraldi, Di Maio, Zio (bib0077) 2016; 65 Khan, Yairi (bib0041) 2018; 107 Nguyen, Medjaher (bib0086) 2019; 188 Xu, Wang, Xu (bib0031) 2015; 15 Do, Söffker (bib0088) 2021; 145 Han, Yu, Tang, Liu, Yu (bib0056) 2016 Shin, Badgwell, Liu, Lee (bib0093) 2019; 127 Baraldi, Cadini, Mangili, Zio (bib0074) 2013; 32 Hirshorn, Voss, Bromley (bib0055) 2017 Omoleye, Alabdulkarim, Tsui (bib0062) 2019; 13 Compare, Bellani, Zio (bib0051) 2019; 184 Moradi, Groth (bib0058) 2020; 204 Niculita, Nwora, Skaf (bib0021) 2017; 59 Lei, Lin, He, Zuo (bib0070) 2013; 35 Compare, Baraldi, Zio (bib0003) 2020; 7 Lei, Yang, Jiang, Jia, Li, Nandi (bib0042) 2020; 138 Khorasgani, Biswas, Sankararaman (bib0025) 2016; 154 Kacprzynski, Roemer (bib0061) 2003 Saxena, Celaya, Saha, Saha, Goebel (bib0076) 2010 Kacprzynski, Roemer, Hess (bib0060) 2002; 6 Andriotis, Papakonstantinou (bib0095) 2019; 191 Tahan, Tsoutsanis, Muhammad, Karim (bib0009) 2017; 198 Bougacha, Varnier, Zerhouni (bib0047) 2020; 11 Samuel, Rajan (bib0033) 2015; 65 Zhao, Yan, Chen, Mao, Wang, Gao (bib0043) 2019; 115 Kim, An, Choi (bib0050) 2016 Jennions, Esperon Miguez (bib0053) 2016 Rahmati, Ahmadi, Karimi (bib0101) 2018; 40 Xu, Xu (bib0036) 2017 Yang, Sun, Ye (bib0012) 2020; 16 An, Kim, Choi (bib0039) 2015; 133 Alaswad, Xiang (bib0045) 2017; 157 Weiss, Khoshgoftaar, Wang (bib0079) 2016 Li, Hu, Zheng, Li, Ma (bib0081) 2021; 429 Rezvanizaniani, Liu, Chen, Lee (bib0068) 2014; 256 Li, Hu, Li, Zheng (bib0026) 2020; 86 Dong, Xia, Fang, Zhang, Xi (bib0019) 2019; 133 Khan, Yairi (bib0072) 2018; 107 Wang, Long, Dai (bib0059) 2019 Xiao, Song, Chen, Coit (bib0030) 2016; 146 Sandborn, Wilkinson (bib0085) 2007; 47 Hu, Miao, Zhang, Liu, Pan (bib0032) 2021 Elattar, Elminir, Riad (bib0034) 2016 Losik Len (bib0006) 2006 Hu, Baraldi, Di, Liu, Zio (bib0027) 2021; 235 Kannengiesser, Gero (bib0098) 2015; 26 Gouriveau, Medjaher, Zerhouni (bib0037) 2016 Wang, Gu, Yu, Tao, Li, Fei (bib0094) 2019; 180 Al-Mohamad, Hoblos, Puig (bib0014) 2020; 111 LI, ZHONG, LIN (bib0096) 2019; 32 Templier, Pare (bib0048) 2018; 27 Li, Verhagen, Curran (bib0022) 2020; 43 Li, Verhagen, Curran (bib0054) 2020; 193 Lei, Li, Guo, Li, Yan, Lin (bib0035) 2018; 104 Shabi, Reich (bib0052) 2012 Liu, Zio (bib0078) 2016; 76–77 Zeng, Di Maio, Zio, Kang (bib0075) 2017 Wang, Jiang, Li, Liu (bib0082) 2020; 154 Sun, Jiang, Yung, Fan, Pecht (bib0067) 2017; 32 Guillén, Crespo, Macchi, Gómez (bib0091) 2016; 27 Alrabghi, Tiwari (bib0063) 2016; 154 Alrabghi, Tiwari (bib0065) 2015; 82 Camci, Medjaher, Atamuradov, Berdinyazov (bib0090) 2019; 51 Rezaeianjouybari, Shang (bib0100) 2020; 163 Li, Hu, Zheng, Li (bib0083) 2020 Hu, Baraldi, Di, Zio (bib0029) 2017; 88 Montero Jimenez, Schwartz, Vingerhoeds, Grabot, Salaün (bib0010) 2020; 56 de Jonge, Scarf (bib0084) 2019 Timothy, Devinder, Iain (bib0005) 2009 Nguyen, Nguyen, Nahavandi (bib0092) 2020; 50 Li, Liu, Foley, Zulke, Berecibar, Nanini-Maury (bib0069) 2019; 113 Alabdulkarim, Ball, Tiwari (bib0064) 2015; 26 (bib0015) 2015 Booyse, Wilke, Heyns (bib0024) 2020; 140 Daigle, Sankararaman, Roychoudhury (bib0020) 2016 Saxena, Roychoudhury, Celaya, Saha, Saha, Goebel (bib0023) 2012 Li, Zhang, Qin, Estupinan (bib0073) 2020; 407 Mancuso, Compare, Salo, Zio (bib0007) 2021; 210 Atamuradov, Medjaher, Dersin, Lamoureux, Zerhouni (bib0049) 2017; 8 Compare, Bellani, Zio (bib0087) 2017; 168 Zio (bib0001) 2016; 65 Lee, Kim, Quan, Kim, Kim, Yoon (bib0038) 2018; 32 Cao, Zhang, Tang (bib0080) 2018; 6 de Jonge, Scarf (bib0044) 2020; 285 Xu, Saleh (bib0008) 2021; 211 Liu, Chen, Jiang (bib0097) 2020; 283 Dong (10.1016/j.ress.2021.108063_bib0019) 2019; 133 Lei (10.1016/j.ress.2021.108063_bib0042) 2020; 138 Li (10.1016/j.ress.2021.108063_bib0073) 2020; 407 Li (10.1016/j.ress.2021.108063_bib0022) 2020; 43 Moradi (10.1016/j.ress.2021.108063_bib0058) 2020; 204 Booyse (10.1016/j.ress.2021.108063_bib0024) 2020; 140 Xu (10.1016/j.ress.2021.108063_bib0031) 2015; 15 Termite (10.1016/j.ress.2021.108063_bib0028) 2019; 12 Saxena (10.1016/j.ress.2021.108063_bib0076) 2010 Templier (10.1016/j.ress.2021.108063_bib0048) 2018; 27 Samuel (10.1016/j.ress.2021.108063_bib0033) 2015; 65 Losik Len (10.1016/j.ress.2021.108063_bib0006) 2006 Saxena (10.1016/j.ress.2021.108063_bib0023) 2012 Syan (10.1016/j.ress.2021.108063_bib0046) 2019; 190 Alaswad (10.1016/j.ress.2021.108063_bib0045) 2017; 157 Yang (10.1016/j.ress.2021.108063_bib0012) 2020; 16 Rezvanizaniani (10.1016/j.ress.2021.108063_bib0068) 2014; 256 (10.1016/j.ress.2021.108063_bib0015) 2015 Shin (10.1016/j.ress.2021.108063_bib0093) 2019; 127 Compare (10.1016/j.ress.2021.108063_bib0087) 2017; 168 Li (10.1016/j.ress.2021.108063_bib0069) 2019; 113 Khan (10.1016/j.ress.2021.108063_bib0041) 2018; 107 Hu (10.1016/j.ress.2021.108063_bib0032) 2021 Li (10.1016/j.ress.2021.108063_bib0083) 2020 Omoleye (10.1016/j.ress.2021.108063_bib0062) 2019; 13 Dumargue (10.1016/j.ress.2021.108063_bib0099) 2016 Rahmati (10.1016/j.ress.2021.108063_bib0101) 2018; 40 Elattar (10.1016/j.ress.2021.108063_bib0034) 2016 de Jonge (10.1016/j.ress.2021.108063_bib0084) 2019 Cao (10.1016/j.ress.2021.108063_bib0080) 2018; 6 de Jonge (10.1016/j.ress.2021.108063_bib0044) 2020; 285 Hu (10.1016/j.ress.2021.108063_bib0029) 2017; 88 Zhao (10.1016/j.ress.2021.108063_bib0043) 2019; 115 Shabi (10.1016/j.ress.2021.108063_bib0052) 2012 Alrabghi (10.1016/j.ress.2021.108063_bib0063) 2016; 154 Li (10.1016/j.ress.2021.108063_bib0081) 2021; 429 Bolón-Canedo (10.1016/j.ress.2021.108063_bib0071) 2015; 86 Zio (10.1016/j.ress.2021.108063_bib0001) 2016; 65 Compare (10.1016/j.ress.2021.108063_bib0051) 2019; 184 Hirshorn (10.1016/j.ress.2021.108063_bib0055) 2017 Jennions (10.1016/j.ress.2021.108063_bib0053) 2016 Mancuso (10.1016/j.ress.2021.108063_bib0007) 2021; 210 Nguyen (10.1016/j.ress.2021.108063_bib0092) 2020; 50 Maier (10.1016/j.ress.2021.108063_bib0018) 2004; 7 Alabdulkarim (10.1016/j.ress.2021.108063_bib0064) 2015; 26 Baraldi (10.1016/j.ress.2021.108063_bib0074) 2013; 32 Han (10.1016/j.ress.2021.108063_bib0056) 2016 Wang (10.1016/j.ress.2021.108063_bib0082) 2020; 154 Lei (10.1016/j.ress.2021.108063_bib0035) 2018; 104 Lee (10.1016/j.ress.2021.108063_bib0038) 2018; 32 Zeng (10.1016/j.ress.2021.108063_bib0075) 2017 Al-Mohamad (10.1016/j.ress.2021.108063_bib0014) 2020; 111 An (10.1016/j.ress.2021.108063_bib0039) 2015; 133 Huynh (10.1016/j.ress.2021.108063_bib0011) 2017; 159 Kacprzynski (10.1016/j.ress.2021.108063_bib0060) 2002; 6 Sun (10.1016/j.ress.2021.108063_bib0067) 2017; 32 Kim (10.1016/j.ress.2021.108063_bib0050) 2016 Fink (10.1016/j.ress.2021.108063_bib0040) 2020; 92 Liu (10.1016/j.ress.2021.108063_bib0097) 2020; 283 Khorasgani (10.1016/j.ress.2021.108063_bib0025) 2016; 154 Li (10.1016/j.ress.2021.108063_bib0054) 2020; 193 Xia (10.1016/j.ress.2021.108063_bib0004) 2018; 178 Montero Jimenez (10.1016/j.ress.2021.108063_bib0010) 2020; 56 Niculita (10.1016/j.ress.2021.108063_bib0021) 2017; 59 Jouin (10.1016/j.ress.2021.108063_bib0002) 2016; 148 Sandborn (10.1016/j.ress.2021.108063_bib0085) 2007; 47 Lei (10.1016/j.ress.2021.108063_bib0070) 2013; 35 Hu (10.1016/j.ress.2021.108063_bib0027) 2021; 235 Wang (10.1016/j.ress.2021.108063_bib0059) 2019 Gouriveau (10.1016/j.ress.2021.108063_bib0037) 2016 Bougacha (10.1016/j.ress.2021.108063_bib0047) 2020; 11 Keller (10.1016/j.ress.2021.108063_bib0057) 2010 Alrabghi (10.1016/j.ress.2021.108063_bib0065) 2015; 82 Xiao (10.1016/j.ress.2021.108063_bib0030) 2016; 146 Weiss (10.1016/j.ress.2021.108063_bib0079) 2016 Hu (10.1016/j.ress.2021.108063_bib0077) 2016; 65 Atamuradov (10.1016/j.ress.2021.108063_bib0049) 2017; 8 Do (10.1016/j.ress.2021.108063_bib0088) 2021; 145 Xu (10.1016/j.ress.2021.108063_bib0008) 2021; 211 Tahan (10.1016/j.ress.2021.108063_bib0009) 2017; 198 Wang (10.1016/j.ress.2021.108063_bib0094) 2019; 180 Zhang (10.1016/j.ress.2021.108063_bib0066) 2018; 271 Andriotis (10.1016/j.ress.2021.108063_bib0095) 2019; 191 LI (10.1016/j.ress.2021.108063_bib0096) 2019; 32 Khan (10.1016/j.ress.2021.108063_bib0072) 2018; 107 (10.1016/j.ress.2021.108063_bib0017) 2011 Nguyen (10.1016/j.ress.2021.108063_bib0086) 2019; 188 Compare (10.1016/j.ress.2021.108063_bib0003) 2020; 7 Rezaeianjouybari (10.1016/j.ress.2021.108063_bib0100) 2020; 163 Daigle (10.1016/j.ress.2021.108063_bib0020) 2016 Li (10.1016/j.ress.2021.108063_bib0013) 2020; 193 Li (10.1016/j.ress.2021.108063_bib0026) 2020; 86 Guillén (10.1016/j.ress.2021.108063_bib0091) 2016; 27 Kannengiesser (10.1016/j.ress.2021.108063_bib0098) 2015; 26 Timothy (10.1016/j.ress.2021.108063_bib0005) 2009 Liu (10.1016/j.ress.2021.108063_bib0078) 2016; 76–77 Kacprzynski (10.1016/j.ress.2021.108063_bib0061) 2003 Dahmann (10.1016/j.ress.2021.108063_bib0016) 2016; 19 Niu (10.1016/j.ress.2021.108063_bib0089) 2017; 168 Camci (10.1016/j.ress.2021.108063_bib0090) 2019; 51 Xu (10.1016/j.ress.2021.108063_bib0036) 2017
References_xml	– volume: 159 start-page: 237 year: 2017 end-page: 254 ident: bib0011 article-title: Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking publication-title: Reliab Eng Syst Saf – volume: 65 start-page: 432 year: 2015 end-page: 442 ident: bib0033 article-title: Hybrid: particle swarm optimization–genetic algorithm and particle swarm optimization–shuffled frog leaping algorithm for long-term generator maintenance scheduling publication-title: Int J Electr Power Energy Syst – volume: 11 start-page: 31 year: 2020 ident: bib0047 article-title: A Review of Post-Prognostics Decision-Making in Prognostics and Health Management publication-title: Int J Progn Heal Manag – volume: 6 start-page: 6 year: 2002 end-page: 12 ident: bib0060 article-title: Health management system design: Development, simulation and cost/benefit optimization publication-title: Proceedings, IEEE Aerosp. Conf. – volume: 204 year: 2020 ident: bib0058 article-title: Modernizing risk assessment: A systematic integration of PRA and PHM techniques publication-title: Reliab Eng Syst Saf – volume: 235 start-page: 33 year: 2021 end-page: 49 ident: bib0027 article-title: A method for fault diagnosis in evolving environment using unlabeled data publication-title: Proc Inst Mech Eng Part O J Risk Reliab – start-page: 1 year: 2016 end-page: 5 ident: bib0056 article-title: Ieee. Implementation and Verification of Prognostics and Health Management System Using a Configurable System of Systems Architecture. 2016 Ieee Int publication-title: Conf. Progn. Heal. Manag., Ieee – volume: 40 start-page: 255 year: 2018 end-page: 271 ident: bib0101 article-title: Multi-objective evolutionary simulation based optimization mechanism for a novel stochastic reliability centered maintenance problem publication-title: Swarm Evol Comput – volume: 157 start-page: 54 year: 2017 end-page: 63 ident: bib0045 article-title: A review on condition-based maintenance optimization models for stochastically deteriorating system publication-title: Reliab Eng Syst Saf – volume: 113 start-page: 18 year: 2019 ident: bib0069 article-title: Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review publication-title: Renew Sustain Energy Rev – volume: 32 start-page: 66 year: 2013 end-page: 79 ident: bib0074 article-title: Model-based and data-driven prognostics under different available information publication-title: Probabilistic Eng Mech – volume: 138 year: 2020 ident: bib0042 article-title: Applications of machine learning to machine fault diagnosis : A review and roadmap publication-title: Mech Syst Signal Process – volume: 32 start-page: 2133 year: 2019 end-page: 2150 ident: bib0096 article-title: An aero-engine life-cycle maintenance policy optimization algorithm: The reinforcement learning approach publication-title: Chinese J Aeronaut – volume: 168 start-page: 218 year: 2017 end-page: 226 ident: bib0089 article-title: Prognostic control-enhanced maintenance optimization for multi-component systems publication-title: Reliab Eng Syst Saf – start-page: 2010 year: 2010 ident: bib0057 article-title: Architectures for affordable health management publication-title: AIAA Infotech Aerosp – year: 2021 ident: bib0032 article-title: Reinforcement learning-driven maintenance strategy: A novel solution for long-term aircraft maintenance decision optimization publication-title: Comput Ind Eng – year: 2015 ident: bib0015 article-title: INCOSE Systems Engineering Handbook: A Guide for System Life Cycle Processes and Activities – year: 2019 ident: bib0059 article-title: A PHM architecture of maglev train based on the distributed hierarchical structure publication-title: IEEE Int. Symp. Ind. Electron. – year: 2009 ident: bib0005 article-title: F-35 Joint Strike Fighter Structural Prognosis and Health Management an Overview. ICAF 2009 publication-title: Bridg. Gap between Theory Oper. Pract. – volume: 154 year: 2020 ident: bib0082 article-title: A reinforcement neural architecture search method for rolling bearing fault diagnosis publication-title: Meas J Int Meas Confed – volume: 7 start-page: 257 year: 2004 end-page: 270 ident: bib0018 article-title: ANSI/IEEE 1471 and systems engineering publication-title: Syst Eng – volume: 47 start-page: 1889 year: 2007 end-page: 1901 ident: bib0085 article-title: A maintenance planning and business case development model for the application of prognostics and health management (PHM) to electronic systems publication-title: Microelectron Reliab – volume: 145 year: 2021 ident: bib0088 article-title: State-of-the-art in integrated prognostics and health management control for utility-scale wind turbines publication-title: Renew Sustain Energy Rev – year: 2016 ident: bib0037 article-title: From prognostics and health systems management to predictive maintenance 1: Monitoring and prognostics – volume: 32 start-page: 987 year: 2018 end-page: 1009 ident: bib0038 article-title: Machine health management in smart factory: A review publication-title: J Mech Sci Technol – volume: 35 start-page: 108 year: 2013 end-page: 126 ident: bib0070 article-title: A review on empirical mode decomposition in fault diagnosis of rotating machinery publication-title: Mech Syst Signal Process – volume: 154 start-page: 8 year: 2016 end-page: 18 ident: bib0025 article-title: Methodologies for system-level remaining useful life prediction publication-title: Reliab Eng Syst Saf – volume: 210 year: 2021 ident: bib0007 article-title: Optimal Prognostics and Health Management-driven inspection and maintenance strategies for industrial systems publication-title: Reliab Eng Syst Saf – volume: 211 year: 2021 ident: bib0008 article-title: Machine learning for reliability engineering and safety applications: Review of current status and future opportunities publication-title: Reliab Eng Syst Saf – volume: 178 start-page: 255 year: 2018 end-page: 268 ident: bib0004 article-title: Recent advances in prognostics and health management for advanced manufacturing paradigms publication-title: Reliab Eng Syst Saf – volume: 107 start-page: 241 year: 2018 end-page: 265 ident: bib0072 article-title: A review on the application of deep learning in system health management publication-title: Mech Syst Signal Process – volume: 43 start-page: 20 year: 2020 ident: bib0022 article-title: Stakeholder-oriented systematic design methodology for prognostic and health management system: Stakeholder expectation definition publication-title: Adv Eng Informatics – volume: 65 start-page: 718 year: 2016 end-page: 735 ident: bib0077 article-title: Online Performance Assessment Method for a Model-Based Prognostic Approach publication-title: IEEE Trans Reliab – volume: 188 start-page: 251 year: 2019 end-page: 262 ident: bib0086 article-title: A new dynamic predictive maintenance framework using deep learning for failure prognostics publication-title: Reliab Eng Syst Saf – year: 2019 ident: bib0084 article-title: A review on maintenance optimization publication-title: Eur J Oper Res – volume: 184 start-page: 164 year: 2019 end-page: 180 ident: bib0051 article-title: Optimal allocation of prognostics and health management capabilities to improve the reliability of a power transmission network publication-title: Reliab Eng Syst Saf – volume: 8 start-page: 1 year: 2017 end-page: 31 ident: bib0049 article-title: Prognostics and health management for maintenance practitioners-review, implementation and tools evaluation publication-title: Int J Progn Heal Manag – start-page: 0 year: 2016 end-page: 12 ident: bib0099 article-title: An Approach to Designing PHM Systems with Systems Engineering publication-title: Eur Conf PHM Soc 2016 Proc – volume: 193 year: 2020 ident: bib0013 article-title: A systematic methodology for Prognostic and Health Management system architecture definition publication-title: Reliab Eng Syst Saf – volume: 50 start-page: 3826 year: 2020 end-page: 3839 ident: bib0092 article-title: Deep reinforcement learning for multiagent systems: A review of challenges, solutions, and applications publication-title: IEEE Trans Cybern – volume: 92 year: 2020 ident: bib0040 article-title: Potential, challenges and future directions for deep learning in prognostics and health management applications publication-title: Eng Appl Artif Intell – volume: 140 year: 2020 ident: bib0024 article-title: Deep digital twins for detection, diagnostics and prognostics publication-title: Mech Syst Signal Process – volume: 86 year: 2020 ident: bib0026 article-title: Fault diagnostics between different type of components: A transfer learning approach publication-title: Appl Soft Comput J – volume: 115 start-page: 213 year: 2019 end-page: 237 ident: bib0043 article-title: Deep learning and its applications to machine health monitoring publication-title: Mech Syst Signal Process – volume: 148 start-page: 78 year: 2016 end-page: 95 ident: bib0002 article-title: Degradations analysis and aging modeling for health assessment and prognostics of PEMFC publication-title: Reliab Eng Syst Saf – volume: 429 start-page: 12 year: 2021 end-page: 24 ident: bib0081 article-title: Central moment discrepancy based domain adaptation for intelligent bearing fault diagnosis publication-title: Neurocomputing – volume: 283 start-page: 166 year: 2020 end-page: 181 ident: bib0097 article-title: Dynamic selective maintenance optimization for multi-state systems over a finite horizon: A deep reinforcement learning approach publication-title: Eur J Oper Res – volume: 76–77 start-page: 796 year: 2016 end-page: 809 ident: bib0078 article-title: An adaptive online learning approach for Support Vector Regression: Online-SVR-FID publication-title: Mech Syst Signal Process – year: 2016 ident: bib0020 article-title: System-level prognostics for the national airspace publication-title: Annu. Conf. PHM Soc. – volume: 27 start-page: 991 year: 2016 end-page: 1004 ident: bib0091 article-title: On the role of Prognostics and Health Management in advanced maintenance systems publication-title: Prod Plan Control – volume: 65 start-page: 1769 year: 2016 end-page: 1782 ident: bib0001 article-title: Some Challenges and Opportunities in Reliability Engineering publication-title: IEEE Trans Reliab – volume: 82 start-page: 167 year: 2015 end-page: 182 ident: bib0065 article-title: State of the art in simulation-based optimisation for maintenance systems publication-title: Comput Ind Eng – volume: 198 start-page: 122 year: 2017 end-page: 144 ident: bib0009 article-title: Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review publication-title: Appl Energy – volume: 407 start-page: 121 year: 2020 end-page: 135 ident: bib0073 article-title: A systematic review of deep transfer learning for machinery fault diagnosis publication-title: Neurocomputing – volume: 56 start-page: 539 year: 2020 end-page: 557 ident: bib0010 article-title: Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics publication-title: J Manuf Syst – volume: 111 year: 2020 ident: bib0014 article-title: A hybrid system-level prognostics approach with online RUL forecasting for electronics-rich systems with unknown degradation behaviors publication-title: Microelectron Reliab – year: 2016 ident: bib0034 article-title: Prognostics: a literature review. vol. 2 – volume: 180 start-page: 75 year: 2019 end-page: 90 ident: bib0094 article-title: Adaptive and large-scale service composition based on deep reinforcement learning publication-title: Knowledge-Based Syst – volume: 146 start-page: 68 year: 2016 end-page: 78 ident: bib0030 article-title: Joint optimization of production scheduling and machine group preventive maintenance publication-title: Reliab Eng Syst Saf – volume: 13 start-page: 254 year: 2019 end-page: 271 ident: bib0062 article-title: Impact of resources and monitoring effectiveness on prognostics enabled condition based maintenance policy publication-title: J Simul – year: 2017 ident: bib0075 article-title: A hierarchical decision-making framework for the assessment of the prediction capability of prognostic methods publication-title: Proc Inst Mech Eng Part O J Risk Reliab – year: 2011 ident: bib0017 article-title: Specialty Engineering Disciplines – year: 2003 ident: bib0061 article-title: Hess IEEE Aerospace Conference AJBT-P. Health Management System Design: Development publication-title: Simulation and Cost/Benefit Optimization – volume: 26 start-page: 632 year: 2015 end-page: 659 ident: bib0064 article-title: Assessing asset monitoring levels for maintenance operations: A simulation approach publication-title: J Manuf Technol Manag – volume: 190 year: 2019 ident: bib0046 article-title: Maintenance applications of multi-criteria optimization: A review publication-title: Reliab Eng Syst Saf – volume: 27 start-page: 503 year: 2018 end-page: 550 ident: bib0048 article-title: Transparency in literature reviews: an assessment of reporting practices across review types and genres in top IS journals publication-title: Eur J Inf Syst – volume: 88 start-page: 413 year: 2017 end-page: 427 ident: bib0029 article-title: A Systematic Semi-Supervised Self-adaptable Fault Diagnostics approach in an evolving environment publication-title: Mech Syst Signal Process – volume: 12 start-page: 4802 year: 2019 ident: bib0028 article-title: A Never-Ending Learning Method for Fault Diagnostics in Energy Systems Operating in Evolving Environments publication-title: Energies – volume: 193 year: 2020 ident: bib0054 article-title: A systematic methodology for Prognostic and Health Management system architecture definition publication-title: Reliab Eng Syst Saf – volume: 133 start-page: 223 year: 2015 end-page: 236 ident: bib0039 article-title: Practical options for selecting data-driven or physics-based prognostics algorithms with reviews publication-title: Reliab Eng Syst Saf – volume: 256 start-page: 110 year: 2014 end-page: 124 ident: bib0068 article-title: Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility publication-title: J Power Sources – volume: 168 start-page: 4 year: 2017 end-page: 11 ident: bib0087 article-title: Reliability model of a component equipped with PHM capabilities publication-title: Reliab Eng Syst Saf – volume: 59 start-page: 122 year: 2017 end-page: 132 ident: bib0021 article-title: Towards Design of Prognostics and Health Management Solutions for Maritime Assets publication-title: Procedia CIRP – volume: 107 start-page: 241 year: 2018 end-page: 265 ident: bib0041 article-title: A review on the application of deep learning in system health management publication-title: Mech Syst Signal Process – volume: 51 start-page: 1794 year: 2019 end-page: 1809 ident: bib0090 article-title: Integrated maintenance and mission planning using remaining useful life information publication-title: Eng Optim – year: 2017 ident: bib0036 article-title: Integrated System Health Management: Perspectives on Systems Engineering Techniques – volume: 154 start-page: 160 year: 2016 end-page: 170 ident: bib0063 article-title: A novel approach for modelling complex maintenance systems using discrete event simulation publication-title: Reliab Eng Syst Saf – volume: 285 start-page: 805 year: 2020 end-page: 824 ident: bib0044 article-title: A review on maintenance optimization publication-title: Eur J Oper Res – volume: 133 start-page: 57 year: 2019 end-page: 68 ident: bib0019 article-title: Prognostic and health management for adaptive manufacturing systems with online sensors and flexible structures publication-title: Comput Ind Eng – volume: 15 start-page: 4836 year: 2015 end-page: 4844 ident: bib0031 article-title: PHM-Oriented Sensor Optimization Selection Based on Multiobjective Model for Aircraft Engines publication-title: IEEE Sens J – volume: 32 start-page: 6338 year: 2017 end-page: 6362 ident: bib0067 article-title: A Review of Prognostic Techniques for High-Power White LEDs publication-title: Ieee Trans Power Electron – year: 2016 ident: bib0079 article-title: A survey of transfer learning – volume: 6 start-page: 26241 year: 2018 end-page: 26253 ident: bib0080 article-title: Preprocessing-Free Gear Fault Diagnosis Using Small Datasets with Deep Convolutional Neural Network-Based Transfer Learning publication-title: IEEE Access – volume: 26 start-page: 253 year: 2015 end-page: 275 ident: bib0098 article-title: Is designing independent of domain? Comparing models of engineering, software and service design publication-title: Res Eng Des – volume: 16 start-page: 277 year: 2020 end-page: 287 ident: bib0012 article-title: Designing mission abort strategies based on early-warning information: Application to UAV publication-title: IEEE Trans Ind Informatics – year: 2016 ident: bib0053 article-title: Integrating IVHM and asset design – start-page: 1 year: 2010 end-page: 20 ident: bib0076 article-title: Metrics for Offline Evaluation of Prognostic Performance publication-title: Int J Progn Heal Manag – year: 2017 ident: bib0055 article-title: Nasa systems engineering handbook – volume: 163 year: 2020 ident: bib0100 article-title: Deep learning for prognostics and health management : State of the art, challenges, and opportunities publication-title: Measurement – start-page: 5197 year: 2006 ident: bib0006 article-title: Using the Prognostic Health Management Program on the Air Force Next Generation Reusable Launch Vehicle publication-title: AIAA Sp. 2012 Conf. Expo. – volume: 104 start-page: 799 year: 2018 end-page: 834 ident: bib0035 article-title: Machinery health prognostics: A systematic review from data acquisition to RUL prediction publication-title: Mech Syst Signal Process – year: 2016 ident: bib0050 article-title: Prognostics and health management of engineering systems: An introduction – year: 2020 ident: bib0083 article-title: Neural Architecture Search For Fault Diagnosis publication-title: ArXiv Prepr ArXiv200207997 – volume: 191 year: 2019 ident: bib0095 article-title: Managing engineering systems with large state and action spaces through deep reinforcement learning publication-title: Reliab Eng Syst Saf – volume: 271 start-page: 775 year: 2018 end-page: 796 ident: bib0066 article-title: Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods publication-title: Eur J Oper Res – year: 2012 ident: bib0052 article-title: Developing an analytical model for planning systems verification, validation and testing processes publication-title: Adv Eng Informatics – volume: 7 start-page: 4585 year: 2020 end-page: 4597 ident: bib0003 article-title: Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0 publication-title: IEEE Internet Things J – volume: 127 start-page: 282 year: 2019 end-page: 294 ident: bib0093 article-title: Reinforcement Learning – Overview of recent progress and implications for process control publication-title: Comput Chem Eng – volume: 86 start-page: 33 year: 2015 end-page: 45 ident: bib0071 article-title: Recent advances and emerging challenges of feature selection in the context of big data publication-title: Knowledge-Based Syst – volume: 19 start-page: 23 year: 2016 end-page: 26 ident: bib0016 article-title: Systems of systems engineering standards publication-title: Insight – start-page: 2554 year: 2012 ident: bib0023 article-title: Requirements flowdown for prognostics and health management publication-title: Infotech@ Aerosp – volume: 235 start-page: 33 year: 2021 ident: 10.1016/j.ress.2021.108063_bib0027 article-title: A method for fault diagnosis in evolving environment using unlabeled data publication-title: Proc Inst Mech Eng Part O J Risk Reliab – volume: 154 start-page: 160 year: 2016 ident: 10.1016/j.ress.2021.108063_bib0063 article-title: A novel approach for modelling complex maintenance systems using discrete event simulation publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2016.06.003 – year: 2009 ident: 10.1016/j.ress.2021.108063_bib0005 article-title: F-35 Joint Strike Fighter Structural Prognosis and Health Management an Overview. ICAF 2009 publication-title: Bridg. Gap between Theory Oper. Pract. – year: 2016 ident: 10.1016/j.ress.2021.108063_bib0037 – volume: 92 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0040 article-title: Potential, challenges and future directions for deep learning in prognostics and health management applications publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2020.103678 – start-page: 1 year: 2010 ident: 10.1016/j.ress.2021.108063_bib0076 article-title: Metrics for Offline Evaluation of Prognostic Performance publication-title: Int J Progn Heal Manag – volume: 127 start-page: 282 year: 2019 ident: 10.1016/j.ress.2021.108063_bib0093 article-title: Reinforcement Learning – Overview of recent progress and implications for process control publication-title: Comput Chem Eng doi: 10.1016/j.compchemeng.2019.05.029 – start-page: 5197 year: 2006 ident: 10.1016/j.ress.2021.108063_bib0006 article-title: Using the Prognostic Health Management Program on the Air Force Next Generation Reusable Launch Vehicle publication-title: AIAA Sp. 2012 Conf. Expo. – volume: 193 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0013 article-title: A systematic methodology for Prognostic and Health Management system architecture definition publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2019.106598 – year: 2016 ident: 10.1016/j.ress.2021.108063_bib0079 – year: 2016 ident: 10.1016/j.ress.2021.108063_bib0020 article-title: System-level prognostics for the national airspace publication-title: Annu. Conf. PHM Soc. doi: 10.36001/phmconf.2016.v8i1.2583 – volume: 210 year: 2021 ident: 10.1016/j.ress.2021.108063_bib0007 article-title: Optimal Prognostics and Health Management-driven inspection and maintenance strategies for industrial systems publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.107536 – volume: 32 start-page: 2133 year: 2019 ident: 10.1016/j.ress.2021.108063_bib0096 article-title: An aero-engine life-cycle maintenance policy optimization algorithm: The reinforcement learning approach publication-title: Chinese J Aeronaut doi: 10.1016/j.cja.2019.07.003 – volume: 133 start-page: 223 year: 2015 ident: 10.1016/j.ress.2021.108063_bib0039 article-title: Practical options for selecting data-driven or physics-based prognostics algorithms with reviews publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2014.09.014 – volume: 256 start-page: 110 year: 2014 ident: 10.1016/j.ress.2021.108063_bib0068 article-title: Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility publication-title: J Power Sources doi: 10.1016/j.jpowsour.2014.01.085 – volume: 154 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0082 article-title: A reinforcement neural architecture search method for rolling bearing fault diagnosis publication-title: Meas J Int Meas Confed – volume: 148 start-page: 78 year: 2016 ident: 10.1016/j.ress.2021.108063_bib0002 article-title: Degradations analysis and aging modeling for health assessment and prognostics of PEMFC publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2015.12.003 – year: 2017 ident: 10.1016/j.ress.2021.108063_bib0036 – volume: 86 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0026 article-title: Fault diagnostics between different type of components: A transfer learning approach publication-title: Appl Soft Comput J doi: 10.1016/j.asoc.2019.105950 – volume: 178 start-page: 255 year: 2018 ident: 10.1016/j.ress.2021.108063_bib0004 article-title: Recent advances in prognostics and health management for advanced manufacturing paradigms publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2018.06.021 – volume: 65 start-page: 1769 year: 2016 ident: 10.1016/j.ress.2021.108063_bib0001 article-title: Some Challenges and Opportunities in Reliability Engineering publication-title: IEEE Trans Reliab doi: 10.1109/TR.2016.2591504 – volume: 407 start-page: 121 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0073 article-title: A systematic review of deep transfer learning for machinery fault diagnosis publication-title: Neurocomputing doi: 10.1016/j.neucom.2020.04.045 – volume: 145 year: 2021 ident: 10.1016/j.ress.2021.108063_bib0088 article-title: State-of-the-art in integrated prognostics and health management control for utility-scale wind turbines publication-title: Renew Sustain Energy Rev doi: 10.1016/j.rser.2021.111102 – volume: 59 start-page: 122 year: 2017 ident: 10.1016/j.ress.2021.108063_bib0021 article-title: Towards Design of Prognostics and Health Management Solutions for Maritime Assets publication-title: Procedia CIRP doi: 10.1016/j.procir.2016.10.128 – volume: 107 start-page: 241 year: 2018 ident: 10.1016/j.ress.2021.108063_bib0041 article-title: A review on the application of deep learning in system health management publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2017.11.024 – volume: 271 start-page: 775 year: 2018 ident: 10.1016/j.ress.2021.108063_bib0066 article-title: Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2018.02.033 – volume: 191 year: 2019 ident: 10.1016/j.ress.2021.108063_bib0095 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: 11 start-page: 31 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0047 article-title: A Review of Post-Prognostics Decision-Making in Prognostics and Health Management publication-title: Int J Progn Heal Manag – volume: 65 start-page: 432 year: 2015 ident: 10.1016/j.ress.2021.108063_bib0033 article-title: Hybrid: particle swarm optimization–genetic algorithm and particle swarm optimization–shuffled frog leaping algorithm for long-term generator maintenance scheduling publication-title: Int J Electr Power Energy Syst doi: 10.1016/j.ijepes.2014.10.042 – volume: 27 start-page: 503 year: 2018 ident: 10.1016/j.ress.2021.108063_bib0048 article-title: Transparency in literature reviews: an assessment of reporting practices across review types and genres in top IS journals publication-title: Eur J Inf Syst doi: 10.1080/0960085X.2017.1398880 – volume: 7 start-page: 4585 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0003 article-title: Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0 publication-title: IEEE Internet Things J doi: 10.1109/JIOT.2019.2957029 – year: 2015 ident: 10.1016/j.ress.2021.108063_bib0015 – volume: 168 start-page: 218 year: 2017 ident: 10.1016/j.ress.2021.108063_bib0089 article-title: Prognostic control-enhanced maintenance optimization for multi-component systems publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2017.04.011 – volume: 283 start-page: 166 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0097 article-title: Dynamic selective maintenance optimization for multi-state systems over a finite horizon: A deep reinforcement learning approach publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2019.10.049 – volume: 133 start-page: 57 year: 2019 ident: 10.1016/j.ress.2021.108063_bib0019 article-title: Prognostic and health management for adaptive manufacturing systems with online sensors and flexible structures publication-title: Comput Ind Eng doi: 10.1016/j.cie.2019.04.051 – volume: 159 start-page: 237 year: 2017 ident: 10.1016/j.ress.2021.108063_bib0011 article-title: Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2016.11.022 – start-page: 0 year: 2016 ident: 10.1016/j.ress.2021.108063_bib0099 article-title: An Approach to Designing PHM Systems with Systems Engineering publication-title: Eur Conf PHM Soc 2016 Proc – volume: 65 start-page: 718 year: 2016 ident: 10.1016/j.ress.2021.108063_bib0077 article-title: Online Performance Assessment Method for a Model-Based Prognostic Approach publication-title: IEEE Trans Reliab doi: 10.1109/TR.2015.2500681 – year: 2003 ident: 10.1016/j.ress.2021.108063_bib0061 article-title: Hess IEEE Aerospace Conference AJBT-P. Health Management System Design: Development – volume: 15 start-page: 4836 year: 2015 ident: 10.1016/j.ress.2021.108063_bib0031 article-title: PHM-Oriented Sensor Optimization Selection Based on Multiobjective Model for Aircraft Engines publication-title: IEEE Sens J doi: 10.1109/JSEN.2015.2430361 – volume: 204 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0058 article-title: Modernizing risk assessment: A systematic integration of PRA and PHM techniques publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2020.107194 – year: 2012 ident: 10.1016/j.ress.2021.108063_bib0052 article-title: Developing an analytical model for planning systems verification, validation and testing processes publication-title: Adv Eng Informatics doi: 10.1016/j.aei.2012.02.001 – volume: 115 start-page: 213 year: 2019 ident: 10.1016/j.ress.2021.108063_bib0043 article-title: Deep learning and its applications to machine health monitoring publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2018.05.050 – volume: 154 start-page: 8 year: 2016 ident: 10.1016/j.ress.2021.108063_bib0025 article-title: Methodologies for system-level remaining useful life prediction publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2016.05.006 – start-page: 2010 year: 2010 ident: 10.1016/j.ress.2021.108063_bib0057 article-title: Architectures for affordable health management publication-title: AIAA Infotech Aerosp – volume: 429 start-page: 12 year: 2021 ident: 10.1016/j.ress.2021.108063_bib0081 article-title: Central moment discrepancy based domain adaptation for intelligent bearing fault diagnosis publication-title: Neurocomputing doi: 10.1016/j.neucom.2020.11.063 – volume: 190 year: 2019 ident: 10.1016/j.ress.2021.108063_bib0046 article-title: Maintenance applications of multi-criteria optimization: A review publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2019.106520 – year: 2021 ident: 10.1016/j.ress.2021.108063_bib0032 article-title: Reinforcement learning-driven maintenance strategy: A novel solution for long-term aircraft maintenance decision optimization publication-title: Comput Ind Eng doi: 10.1016/j.cie.2020.107056 – volume: 8 start-page: 1 year: 2017 ident: 10.1016/j.ress.2021.108063_bib0049 article-title: Prognostics and health management for maintenance practitioners-review, implementation and tools evaluation publication-title: Int J Progn Heal Manag – year: 2017 ident: 10.1016/j.ress.2021.108063_bib0075 article-title: A hierarchical decision-making framework for the assessment of the prediction capability of prognostic methods publication-title: Proc Inst Mech Eng Part O J Risk Reliab – start-page: 1 year: 2016 ident: 10.1016/j.ress.2021.108063_bib0056 article-title: Ieee. Implementation and Verification of Prognostics and Health Management System Using a Configurable System of Systems Architecture. 2016 Ieee Int publication-title: Conf. Progn. Heal. Manag., Ieee – volume: 47 start-page: 1889 year: 2007 ident: 10.1016/j.ress.2021.108063_bib0085 article-title: A maintenance planning and business case development model for the application of prognostics and health management (PHM) to electronic systems publication-title: Microelectron Reliab doi: 10.1016/j.microrel.2007.02.016 – volume: 168 start-page: 4 year: 2017 ident: 10.1016/j.ress.2021.108063_bib0087 article-title: Reliability model of a component equipped with PHM capabilities publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2017.05.024 – volume: 198 start-page: 122 year: 2017 ident: 10.1016/j.ress.2021.108063_bib0009 article-title: Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review publication-title: Appl Energy doi: 10.1016/j.apenergy.2017.04.048 – volume: 7 start-page: 257 year: 2004 ident: 10.1016/j.ress.2021.108063_bib0018 article-title: ANSI/IEEE 1471 and systems engineering publication-title: Syst Eng doi: 10.1002/sys.20008 – year: 2016 ident: 10.1016/j.ress.2021.108063_bib0050 – volume: 188 start-page: 251 year: 2019 ident: 10.1016/j.ress.2021.108063_bib0086 article-title: A new dynamic predictive maintenance framework using deep learning for failure prognostics publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2019.03.018 – volume: 163 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0100 article-title: Deep learning for prognostics and health management : State of the art, challenges, and opportunities publication-title: Measurement doi: 10.1016/j.measurement.2020.107929 – volume: 40 start-page: 255 year: 2018 ident: 10.1016/j.ress.2021.108063_bib0101 article-title: Multi-objective evolutionary simulation based optimization mechanism for a novel stochastic reliability centered maintenance problem publication-title: Swarm Evol Comput doi: 10.1016/j.swevo.2018.02.010 – volume: 32 start-page: 987 year: 2018 ident: 10.1016/j.ress.2021.108063_bib0038 article-title: Machine health management in smart factory: A review publication-title: J Mech Sci Technol doi: 10.1007/s12206-018-0201-1 – volume: 82 start-page: 167 year: 2015 ident: 10.1016/j.ress.2021.108063_bib0065 article-title: State of the art in simulation-based optimisation for maintenance systems publication-title: Comput Ind Eng doi: 10.1016/j.cie.2014.12.022 – volume: 32 start-page: 66 year: 2013 ident: 10.1016/j.ress.2021.108063_bib0074 article-title: Model-based and data-driven prognostics under different available information publication-title: Probabilistic Eng Mech doi: 10.1016/j.probengmech.2013.01.003 – volume: 43 start-page: 20 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0022 article-title: Stakeholder-oriented systematic design methodology for prognostic and health management system: Stakeholder expectation definition publication-title: Adv Eng Informatics doi: 10.1016/j.aei.2020.101041 – volume: 19 start-page: 23 year: 2016 ident: 10.1016/j.ress.2021.108063_bib0016 article-title: Systems of systems engineering standards publication-title: Insight doi: 10.1002/inst.12102 – volume: 56 start-page: 539 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0010 article-title: Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics publication-title: J Manuf Syst doi: 10.1016/j.jmsy.2020.07.008 – volume: 76–77 start-page: 796 year: 2016 ident: 10.1016/j.ress.2021.108063_bib0078 article-title: An adaptive online learning approach for Support Vector Regression: Online-SVR-FID publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2016.02.056 – volume: 180 start-page: 75 year: 2019 ident: 10.1016/j.ress.2021.108063_bib0094 article-title: Adaptive and large-scale service composition based on deep reinforcement learning publication-title: Knowledge-Based Syst doi: 10.1016/j.knosys.2019.05.020 – year: 2019 ident: 10.1016/j.ress.2021.108063_bib0059 article-title: A PHM architecture of maglev train based on the distributed hierarchical structure publication-title: IEEE Int. Symp. Ind. Electron. – volume: 6 start-page: 6 year: 2002 ident: 10.1016/j.ress.2021.108063_bib0060 article-title: Health management system design: Development, simulation and cost/benefit optimization publication-title: Proceedings, IEEE Aerosp. Conf. – volume: 12 start-page: 4802 year: 2019 ident: 10.1016/j.ress.2021.108063_bib0028 article-title: A Never-Ending Learning Method for Fault Diagnostics in Energy Systems Operating in Evolving Environments publication-title: Energies doi: 10.3390/en12244802 – year: 2016 ident: 10.1016/j.ress.2021.108063_bib0034 – volume: 211 year: 2021 ident: 10.1016/j.ress.2021.108063_bib0008 article-title: Machine learning for reliability engineering and safety applications: Review of current status and future opportunities publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2021.107530 – volume: 86 start-page: 33 year: 2015 ident: 10.1016/j.ress.2021.108063_bib0071 article-title: Recent advances and emerging challenges of feature selection in the context of big data publication-title: Knowledge-Based Syst doi: 10.1016/j.knosys.2015.05.014 – volume: 140 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0024 article-title: Deep digital twins for detection, diagnostics and prognostics publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2019.106612 – volume: 51 start-page: 1794 year: 2019 ident: 10.1016/j.ress.2021.108063_bib0090 article-title: Integrated maintenance and mission planning using remaining useful life information publication-title: Eng Optim doi: 10.1080/0305215X.2018.1552951 – volume: 50 start-page: 3826 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0092 article-title: Deep reinforcement learning for multiagent systems: A review of challenges, solutions, and applications publication-title: IEEE Trans Cybern doi: 10.1109/TCYB.2020.2977374 – volume: 285 start-page: 805 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0044 article-title: A review on maintenance optimization publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2019.09.047 – year: 2011 ident: 10.1016/j.ress.2021.108063_bib0017 – volume: 104 start-page: 799 year: 2018 ident: 10.1016/j.ress.2021.108063_bib0035 article-title: Machinery health prognostics: A systematic review from data acquisition to RUL prediction publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2017.11.016 – volume: 26 start-page: 253 year: 2015 ident: 10.1016/j.ress.2021.108063_bib0098 article-title: Is designing independent of domain? Comparing models of engineering, software and service design publication-title: Res Eng Des doi: 10.1007/s00163-015-0195-y – volume: 32 start-page: 6338 year: 2017 ident: 10.1016/j.ress.2021.108063_bib0067 article-title: A Review of Prognostic Techniques for High-Power White LEDs publication-title: Ieee Trans Power Electron doi: 10.1109/TPEL.2016.2618422 – volume: 107 start-page: 241 year: 2018 ident: 10.1016/j.ress.2021.108063_bib0072 article-title: A review on the application of deep learning in system health management publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2017.11.024 – volume: 13 start-page: 254 year: 2019 ident: 10.1016/j.ress.2021.108063_bib0062 article-title: Impact of resources and monitoring effectiveness on prognostics enabled condition based maintenance policy publication-title: J Simul doi: 10.1080/17477778.2018.1524269 – year: 2017 ident: 10.1016/j.ress.2021.108063_bib0055 – year: 2020 ident: 10.1016/j.ress.2021.108063_bib0083 article-title: Neural Architecture Search For Fault Diagnosis publication-title: ArXiv Prepr ArXiv200207997 – start-page: 2554 year: 2012 ident: 10.1016/j.ress.2021.108063_bib0023 article-title: Requirements flowdown for prognostics and health management publication-title: Infotech@ Aerosp – volume: 146 start-page: 68 year: 2016 ident: 10.1016/j.ress.2021.108063_bib0030 article-title: Joint optimization of production scheduling and machine group preventive maintenance publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2015.10.013 – volume: 26 start-page: 632 year: 2015 ident: 10.1016/j.ress.2021.108063_bib0064 article-title: Assessing asset monitoring levels for maintenance operations: A simulation approach publication-title: J Manuf Technol Manag doi: 10.1108/JMTM-01-2013-0003 – volume: 111 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0014 article-title: A hybrid system-level prognostics approach with online RUL forecasting for electronics-rich systems with unknown degradation behaviors publication-title: Microelectron Reliab doi: 10.1016/j.microrel.2020.113676 – year: 2019 ident: 10.1016/j.ress.2021.108063_bib0084 article-title: A review on maintenance optimization publication-title: Eur J Oper Res – volume: 27 start-page: 991 year: 2016 ident: 10.1016/j.ress.2021.108063_bib0091 article-title: On the role of Prognostics and Health Management in advanced maintenance systems publication-title: Prod Plan Control doi: 10.1080/09537287.2016.1171920 – volume: 35 start-page: 108 year: 2013 ident: 10.1016/j.ress.2021.108063_bib0070 article-title: A review on empirical mode decomposition in fault diagnosis of rotating machinery publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2012.09.015 – volume: 113 start-page: 18 year: 2019 ident: 10.1016/j.ress.2021.108063_bib0069 article-title: Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review publication-title: Renew Sustain Energy Rev doi: 10.1016/j.rser.2019.109254 – volume: 88 start-page: 413 year: 2017 ident: 10.1016/j.ress.2021.108063_bib0029 article-title: A Systematic Semi-Supervised Self-adaptable Fault Diagnostics approach in an evolving environment publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2016.11.004 – year: 2016 ident: 10.1016/j.ress.2021.108063_bib0053 – volume: 184 start-page: 164 year: 2019 ident: 10.1016/j.ress.2021.108063_bib0051 article-title: Optimal allocation of prognostics and health management capabilities to improve the reliability of a power transmission network publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2018.04.025 – volume: 138 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0042 article-title: Applications of machine learning to machine fault diagnosis : A review and roadmap publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2019.106587 – volume: 157 start-page: 54 year: 2017 ident: 10.1016/j.ress.2021.108063_bib0045 article-title: A review on condition-based maintenance optimization models for stochastically deteriorating system publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2016.08.009 – volume: 6 start-page: 26241 year: 2018 ident: 10.1016/j.ress.2021.108063_bib0080 article-title: Preprocessing-Free Gear Fault Diagnosis Using Small Datasets with Deep Convolutional Neural Network-Based Transfer Learning publication-title: IEEE Access doi: 10.1109/ACCESS.2018.2837621 – volume: 16 start-page: 277 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0012 article-title: Designing mission abort strategies based on early-warning information: Application to UAV publication-title: IEEE Trans Ind Informatics doi: 10.1109/TII.2019.2912427 – volume: 193 year: 2020 ident: 10.1016/j.ress.2021.108063_bib0054 article-title: A systematic methodology for Prognostic and Health Management system architecture definition publication-title: Reliab Eng Syst Saf doi: 10.1016/j.ress.2019.106598
SSID	ssj0004957
Score	2.6856246
Snippet	•The life cycle of prognostics and health management (PHM) is structuredinto DEsign, DEvelopment and DEcision phases (DE3).•Essences, key activities and... Prognostics and health management (PHM) is an enabling technology used to maintain the reliable, efficient, economic and safe operation of engineering...
SourceID	hal proquest crossref elsevier
SourceType	Open Access Repository Aggregation Database Enrichment Source Index Database Publisher
StartPage	108063
SubjectTerms	Engineering Sciences PHM Decision PHM Design PHM Development PHM practical prospects Prognostics and health management (PHM) Reliability engineering Reviewing State-of-the-art reviews
Title	Prognostics and health management: A review from the perspectives of design, development and decision
URI	https://dx.doi.org/10.1016/j.ress.2021.108063 https://www.proquest.com/docview/2619670748 https://minesparis-psl.hal.science/hal-03481385
Volume	217
WOSCitedRecordID	wos000702360100024&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: ScienceDirect database customDbUrl: eissn: 1879-0836 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0004957 issn: 0951-8320 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bixMxFA511wd9EK9YXSWIb3Wkk8lc4luRyiqyFHaF-hSSmYR1WaalN9dH_7knOZmLFRcVfBnKMJOUfF9Pzjk93wkhL42GWEeNy4jxykZcaxapGACpcgMmOck0z_GwifzkpJjPxWww-N5oYXaXeV0XV1di-V-hhnsAtpPO_gXc7aBwAz4D6HAF2OH6R8DPVgtXPNe2X0alYyhTbXOBjWallZcsO9Wlr-6ofGmHQ6Dq6or8gFU4lqfv17rKZuz4_W1kuhaHnljYLHq0Vjb0HEEaeeOvwsbpVYnKp23nW_O106ed-mqDz4vuuRmmbKer9fm27ictGNtLWrRqmq50CVOScQQWBv-nMWiQi1z4Dtp9i81Q7vmL9cdExMVrl6iA0J_FvoIyGNCfu2qfusncXBDygg-Ywi5-yPJUgGE8nLyfzj904lqB7WKbLxeUV1gkuD_T77ybG-euzHZvt_cuzNldcifEHnSCnLlHBqa-T273OlI-IKbHHgpgU2QP7djzhk4ococ67lDgDu1zhy4sRe68oj3m-MEa5jwkn95Nz94eR-EkjqgEB2cTJSbO7VhZoa22sQUvm2VGZ4UqqjJWIuGlzZTLTdtYpRCCJsJoDYFqljGrXO72ETmoF7V5TCizaVYKZksmLDe5EpxpLRhPNDcpN3xI4mYFZRna1LvTUi5lU494Id2qS7fqEld9SEbtO0ts0nLt02kDjAxuJrqPEnh07XsvAMV2AteX_XjyUbp7YydnT4p0Fw_JUQOyDEYBBslgn8vBWS-e_OPcT8mt7md0RA42q615Rm6Wu82X9ep5oOwPXSO5JQ
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=Prognostics+and+health+management%3A+A+review+from+the+perspectives+of+design%2C+development+and+decision&rft.jtitle=Reliability+engineering+%26+system+safety&rft.au=Hu%2C+Yang&rft.au=Miao%2C+Xuewen&rft.au=Si%2C+Yong&rft.au=Pan%2C+Ershun&rft.date=2022-01-01&rft.pub=Elsevier+Ltd&rft.issn=0951-8320&rft.eissn=1879-0836&rft.volume=217&rft_id=info:doi/10.1016%2Fj.ress.2021.108063&rft.externalDocID=S0951832021005652
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0951-8320&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0951-8320&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0951-8320&client=summon