Accident causes data-driven coal and gas outburst accidents prevention: Application of data mining and machine learning in accident path mining and accident case-based deduction
Analyzing the causes of accidents, excavating accident paths, and applying accident prevention are important tasks in safety management. Focusing on coal and gas outburst accidents, this study examined the primary accident path and conducted applied research on the reasoning of the accident case. Fi...
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| Published in: | Process safety and environmental protection Vol. 162; pp. 891 - 913 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.06.2022
Elsevier Science Ltd |
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| ISSN: | 0957-5820, 1744-3598 |
| Online Access: | Get full text |
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| Abstract | Analyzing the causes of accidents, excavating accident paths, and applying accident prevention are important tasks in safety management. Focusing on coal and gas outburst accidents, this study examined the primary accident path and conducted applied research on the reasoning of the accident case. First, combined with the obtained accident causes, a coupling analysis of the causes of coal and gas outburst accidents was conducted. Second, using the method of data mining coupled with Apriori algorithm, the coupling relationship between each cause module of the coal and gas outburst accident was obtained, and consequently, a path map of the coal and gas outburst accident was drawn. Third, a Bayesian network model for the causes of coal and gas outburst accidents was established based on the accident path map and the probability of occurrence of each cause. Finally, considering the safety concept element (SC1) as an example, the Bayesian network model was used to conduct a sensitivity analysis of accident causes. Thereafter, considering the coal and gas outburst accident of the Sanjia Coal Mine in Guizhou Province as an example, probabilistic reasoning research on the cause of the accident was conducted. The application results showed that (1) under normal conditions, there are approximately 797,280 accident paths for coal and gas outbursts. Following data mining, 188 main accident paths were found. (2) Sensitivity analysis determined 19 factors that were sensitive to safety concept elements (SC1), of which the three most sensitive factors were (i) resource management system procedures (SM7), (ii) safety policy (SM1), and (iii) safety training system procedure (SM8). 13 paths exhibited a sensitivity ≥0.5%, of which 7 exhibited strong sensitivity. (3) The absolute accuracy rate of accident cause reasoning in the Sanjia Coal Mine in Guizhou Province was 71.43%, while the relative accuracy rate was close to 100%. Thus, it was concluded that: (1) the accident path mining method proposed in this paper is feasible for main accident path mining. (2) The Bayesian network model for the causes of coal and gas outburst accidents established in this study can be practically applied for the sensitivity analysis of accident causes and exhibits high reliability in the probabilistic reasoning of accident causes. The results of this study is expected to aid in the prevention of coal and gas outburst accidents, and provide reference and help for the path mining of other accident causes and the probabilistic reasoning of accident causes. |
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| AbstractList | Analyzing the causes of accidents, excavating accident paths, and applying accident prevention are important tasks in safety management. Focusing on coal and gas outburst accidents, this study examined the primary accident path and conducted applied research on the reasoning of the accident case. First, combined with the obtained accident causes, a coupling analysis of the causes of coal and gas outburst accidents was conducted. Second, using the method of data mining coupled with Apriori algorithm, the coupling relationship between each cause module of the coal and gas outburst accident was obtained, and consequently, a path map of the coal and gas outburst accident was drawn. Third, a Bayesian network model for the causes of coal and gas outburst accidents was established based on the accident path map and the probability of occurrence of each cause. Finally, considering the safety concept element (SC1) as an example, the Bayesian network model was used to conduct a sensitivity analysis of accident causes. Thereafter, considering the coal and gas outburst accident of the Sanjia Coal Mine in Guizhou Province as an example, probabilistic reasoning research on the cause of the accident was conducted. The application results showed that (1) under normal conditions, there are approximately 797,280 accident paths for coal and gas outbursts. Following data mining, 188 main accident paths were found. (2) Sensitivity analysis determined 19 factors that were sensitive to safety concept elements (SC1), of which the three most sensitive factors were (i) resource management system procedures (SM7), (ii) safety policy (SM1), and (iii) safety training system procedure (SM8). 13 paths exhibited a sensitivity ≥0.5%, of which 7 exhibited strong sensitivity. (3) The absolute accuracy rate of accident cause reasoning in the Sanjia Coal Mine in Guizhou Province was 71.43%, while the relative accuracy rate was close to 100%. Thus, it was concluded that: (1) the accident path mining method proposed in this paper is feasible for main accident path mining. (2) The Bayesian network model for the causes of coal and gas outburst accidents established in this study can be practically applied for the sensitivity analysis of accident causes and exhibits high reliability in the probabilistic reasoning of accident causes. The results of this study is expected to aid in the prevention of coal and gas outburst accidents, and provide reference and help for the path mining of other accident causes and the probabilistic reasoning of accident causes. |
| Author | Shifei, Shen Jun, Hu Gui, Fu Xueming, Shu Qingsong, Jia Xuecai, Xie Zhirong, Wu |
| Author_xml | – sequence: 1 givenname: Xie surname: Xuecai fullname: Xuecai, Xie email: xiexuecai1989@126.com organization: Department of Engineering Physics,Tsinghua University, Beijing 100084, China – sequence: 2 givenname: Shu surname: Xueming fullname: Xueming, Shu email: shuxm@tsinghua.edu.cn organization: Department of Engineering Physics,Tsinghua University, Beijing 100084, China – sequence: 3 givenname: Fu surname: Gui fullname: Gui, Fu email: fugui66@126.com organization: School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China – sequence: 4 givenname: Shen surname: Shifei fullname: Shifei, Shen email: shensf@tsinghua.edu.cn organization: Department of Engineering Physics,Tsinghua University, Beijing 100084, China – sequence: 5 givenname: Jia surname: Qingsong fullname: Qingsong, Jia organization: School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China – sequence: 6 givenname: Hu surname: Jun fullname: Jun, Hu organization: Department of Engineering Physics,Tsinghua University, Beijing 100084, China – sequence: 7 givenname: Wu surname: Zhirong fullname: Zhirong, Wu organization: School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China |
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| Cites_doi | 10.1007/s12182-017-0171-4 10.1016/j.psep.2021.12.036 10.1016/j.psep.2021.04.004 10.1016/j.jclepro.2016.07.011 10.1016/j.anucene.2021.108786 10.1016/j.psep.2021.04.014 10.1016/j.psep.2019.11.026 10.1016/j.psep.2021.03.017 10.1016/j.ress.2020.107363 10.1016/j.psep.2016.12.004 10.1016/j.coal.2018.09.002 10.1016/j.psep.2020.01.024 10.1016/j.fuel.2018.07.132 10.1016/j.psep.2021.03.029 10.1016/j.ssci.2021.105520 10.1016/j.psep.2021.09.022 10.1016/j.tust.2021.104349 10.1016/j.fuel.2018.03.015 10.1016/j.jlp.2021.104467 10.1016/j.psep.2018.11.019 10.1016/j.ssci.2018.01.012 10.1016/j.ssci.2017.12.018 10.31035/cg2018017 10.1016/j.psep.2021.07.032 10.1016/j.psep.2019.11.027 10.1016/j.jprocont.2021.12.011 10.1016/j.psep.2018.04.025 10.1016/j.ssci.2021.105402 10.1016/j.ssci.2021.105414 10.1016/j.ssci.2019.04.038 10.1016/S0925-7535(03)00047-X 10.1016/S0167-739X(97)00019-8 10.1016/j.ress.2021.108216 10.1016/j.psep.2019.02.017 10.1016/j.ress.2020.107041 10.1016/j.psep.2020.01.008 10.1016/j.jlp.2018.06.013 10.1016/j.ssci.2020.104656 10.1016/j.jlp.2021.104695 10.1016/j.oceaneng.2021.110514 10.1016/j.psep.2019.10.006 10.1016/j.psep.2019.08.028 10.1016/j.psep.2019.08.012 10.1016/j.ssci.2020.104981 10.1016/j.bdr.2021.100210 10.1016/j.ssci.2017.10.010 10.1016/j.psep.2021.03.031 10.1016/j.ssci.2021.105537 10.1016/j.jngse.2021.104115 10.1016/j.jngse.2017.06.017 10.1016/j.psep.2021.10.040 10.1016/j.shaw.2020.12.001 10.1016/j.coal.2021.103878 10.1016/j.psep.2019.05.020 10.1016/j.ress.2022.108433 10.1016/j.ssci.2019.05.006 10.1016/j.ijdrr.2021.102634 10.1016/j.psep.2022.01.036 10.1016/j.psep.2017.11.018 10.1016/j.shaw.2020.09.004 10.1016/j.psep.2021.10.022 10.1016/j.psep.2021.01.054 10.1016/j.ssci.2022.105678 10.1016/j.psep.2019.06.029 10.1016/j.aap.2016.02.021 |
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| Keywords | Accident paths mining Accident cause sensitivity analysis Accident causes data driven Coal and gas outburst Accident case-based deduction Apriori-Bayesian algorithm |
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| References | Grant, Salmon, Stevens (bib27) 2018; 104 Khalid, Sagoo, Benachir (bib35) 2021; 143 Leveson (bib38) 2004; 42 Misuri, Cruz, Park (bib45) 2021; 66 Moradi, Martel, Droguett (bib47) 2022; 222 Cui, Zhang, Pan (bib12) 2022; 158 Amin, Khan, Ahmed (bib4) 2021; 150 Molan, Molan (bib46) 2021; 12 Ajayi, Oyedele, Akinade (bib3) 2020; 125 Tetzlaff, Goggins, Pegoraro (bib56) 2021; 12 Srikant, Agrawal (bib55) 1997; 13 Ugurlu, Cicek (bib58) 2022; 245 Du, Wang (bib14) 2019; 129 Kumari, Bhadriraju, Wang (bib36) 2022; 110 Wang, Wu, Huang (bib59) 2018; 117 Wang, Wu, Kang (bib60) 2018; 104 Li, Wang, Shang (bib39) 2021; 149 Fu, Zhao, Hao (bib18) 2019; 7 Ge, Zhang, Xu (bib24) 2022; 158 Reason (bib52) 1990 Fa, Li, Qiu (bib16) 2021 Chen, Wood, Zhao (bib10) 2019; 131 Pika, Hofstede, Perrons (bib50) 2021; 25 Wang, Fan, Niu (bib63) 2022; 75 Zhang, Fu, Hao (bib72) 2020; 136 Zhang, Zhu, Zhang (bib73) 2020; 121 Xuecai, Gui, Yujingyang (bib68) 2019; 122 Amirsoltani, Pirouzmand, Nematollahi (bib5) 2022; 165 Sattari, Macciotta, Kurian (bib65) 2021; 133 An, Yuan, Chen (bib6) 2019; 235 Gao, Li, Sun (bib22) 2022; 159 Yang, Li, Zhang (bib71) 2022; 219 Gheriani, Khan, Chen (bib26) 2017; 106 Halabi, Xu, Long (bib29) 2022; 146 Wang, Wang (bib61) 2021; 143 Cao, Dai, Sun (bib8) 2019; 128 Chen, Feng, Jiang (bib11) 2021; 207 Lyu, Zhang, Huang (bib44) 2022; 157 George, Renjith (bib25) 2021; 149 Liu, Cheng, Liu (bib43) 2017; 45 Gui, Xuecai, Qingsong (bib20) 2020; 134 Liu, Fan, Jiang (bib41) 2021; 148 Chen, Ping, Zhang (bib9) 2022; 148 Shappell, Wiegmann (bib66) 2001; 1 Zhou, Yang, Wang (bib75) 2019; 124 Xiang, Si, Wang (bib67) 2021; 248 He, Gu, Wang (bib30) 2017; 142 Fu, Cao, Zhou (bib17) 2017; 14 Guo, Ji, Khan (bib28) 2021; 149 Asadayoobi, Taghipour, Jaber (bib7) 2022 Singh, Maiti (bib54) 2020; 202 Wang, Zhang, Yuan (bib62) 2022; 122 Zhang, Shao, Zhang (bib74) 2016; 92 Kaptan, Sarıali̇oğlu, Uğurlu (bib34) 2021; 85 (bib48) 2019 Du, Wang, Wang (bib15) 2018; 55 Ding, Khan, Ji (bib13) 2020; 135 Rostamabadi, Jahangiri, Zarei (bib53) 2019; 132 Alauddin, Khan, Imtiaz (bib1) 2021; 150 Fu, Zhou, Wang, Shi (bib19) 2018; 102 Gui, Xuecai, Qingsong (bib21) 2020; 134 Jin, Miao, Sima (bib33) 2018; 1 Tian, Song, He (bib57) 2021; 94 Yujingyang, Yunxiao, Xuecai (bib70) 2020; 65 Ouellet (bib49) 2022; 146 Jia, Fu, Xie (bib32) 2021; 71 Liu, Song, He (bib42) 2018; 222 Ismail, Ramli, Aziz (bib31) 2021; 143 Ge, Xu, Zheng (bib23) 2019; 118 Xuecai, Deyong (bib69) 2018; 113 Kuran, Newnam, Beanland (bib37) 2021; 146 Qiu, Liu, Li (bib51) 2021; 153 Ahadh, Binish, Srinivasan (bib2) 2021; 155 Li, Ren, Busch, den Hartog (bib40) 2018; 198 Wang, Du (bib64) 2020; 133 Ismail (10.1016/j.psep.2022.04.059_bib31) 2021; 143 Yang (10.1016/j.psep.2022.04.059_bib71) 2022; 219 Liu (10.1016/j.psep.2022.04.059_bib42) 2018; 222 Halabi (10.1016/j.psep.2022.04.059_bib29) 2022; 146 Rostamabadi (10.1016/j.psep.2022.04.059_bib53) 2019; 132 Moradi (10.1016/j.psep.2022.04.059_bib47) 2022; 222 Du (10.1016/j.psep.2022.04.059_bib15) 2018; 55 Zhang (10.1016/j.psep.2022.04.059_bib74) 2016; 92 Ahadh (10.1016/j.psep.2022.04.059_bib2) 2021; 155 Asadayoobi (10.1016/j.psep.2022.04.059_bib7) 2022 Gao (10.1016/j.psep.2022.04.059_bib22) 2022; 159 Kaptan (10.1016/j.psep.2022.04.059_bib34) 2021; 85 Fu (10.1016/j.psep.2022.04.059_bib19) 2018; 102 George (10.1016/j.psep.2022.04.059_bib25) 2021; 149 Wang (10.1016/j.psep.2022.04.059_bib63) 2022; 75 Zhang (10.1016/j.psep.2022.04.059_bib72) 2020; 136 Reason (10.1016/j.psep.2022.04.059_bib52) 1990 Wang (10.1016/j.psep.2022.04.059_bib62) 2022; 122 Yujingyang (10.1016/j.psep.2022.04.059_bib70) 2020; 65 Grant (10.1016/j.psep.2022.04.059_bib27) 2018; 104 Fu (10.1016/j.psep.2022.04.059_bib17) 2017; 14 Guo (10.1016/j.psep.2022.04.059_bib28) 2021; 149 Wang (10.1016/j.psep.2022.04.059_bib59) 2018; 117 Khalid (10.1016/j.psep.2022.04.059_bib35) 2021; 143 Zhang (10.1016/j.psep.2022.04.059_bib73) 2020; 121 Xuecai (10.1016/j.psep.2022.04.059_bib69) 2018; 113 He (10.1016/j.psep.2022.04.059_bib30) 2017; 142 Srikant (10.1016/j.psep.2022.04.059_bib55) 1997; 13 Zhou (10.1016/j.psep.2022.04.059_bib75) 2019; 124 An (10.1016/j.psep.2022.04.059_bib6) 2019; 235 Sattari (10.1016/j.psep.2022.04.059_bib65) 2021; 133 Cui (10.1016/j.psep.2022.04.059_bib12) 2022; 158 Kuran (10.1016/j.psep.2022.04.059_bib37) 2021; 146 Kumari (10.1016/j.psep.2022.04.059_bib36) 2022; 110 Chen (10.1016/j.psep.2022.04.059_bib9) 2022; 148 Chen (10.1016/j.psep.2022.04.059_bib10) 2019; 131 Jin (10.1016/j.psep.2022.04.059_bib33) 2018; 1 Leveson (10.1016/j.psep.2022.04.059_bib38) 2004; 42 Misuri (10.1016/j.psep.2022.04.059_bib45) 2021; 66 Ugurlu (10.1016/j.psep.2022.04.059_bib58) 2022; 245 Wang (10.1016/j.psep.2022.04.059_bib64) 2020; 133 Xuecai (10.1016/j.psep.2022.04.059_bib68) 2019; 122 Wang (10.1016/j.psep.2022.04.059_bib61) 2021; 143 Fa (10.1016/j.psep.2022.04.059_bib16) 2021 Tian (10.1016/j.psep.2022.04.059_bib57) 2021; 94 Qiu (10.1016/j.psep.2022.04.059_bib51) 2021; 153 Li (10.1016/j.psep.2022.04.059_bib39) 2021; 149 Ouellet (10.1016/j.psep.2022.04.059_bib49) 2022; 146 Xiang (10.1016/j.psep.2022.04.059_bib67) 2021; 248 Lyu (10.1016/j.psep.2022.04.059_bib44) 2022; 157 Fu (10.1016/j.psep.2022.04.059_bib18) 2019; 7 Pika (10.1016/j.psep.2022.04.059_bib50) 2021; 25 Amin (10.1016/j.psep.2022.04.059_bib4) 2021; 150 Gui (10.1016/j.psep.2022.04.059_bib20) 2020; 134 Alauddin (10.1016/j.psep.2022.04.059_bib1) 2021; 150 Ajayi (10.1016/j.psep.2022.04.059_bib3) 2020; 125 Gheriani (10.1016/j.psep.2022.04.059_bib26) 2017; 106 Li (10.1016/j.psep.2022.04.059_bib40) 2018; 198 Chen (10.1016/j.psep.2022.04.059_bib11) 2021; 207 Molan (10.1016/j.psep.2022.04.059_bib46) 2021; 12 Ding (10.1016/j.psep.2022.04.059_bib13) 2020; 135 Ge (10.1016/j.psep.2022.04.059_bib23) 2019; 118 Gui (10.1016/j.psep.2022.04.059_bib21) 2020; 134 Cao (10.1016/j.psep.2022.04.059_bib8) 2019; 128 Wang (10.1016/j.psep.2022.04.059_bib60) 2018; 104 Liu (10.1016/j.psep.2022.04.059_bib43) 2017; 45 Amirsoltani (10.1016/j.psep.2022.04.059_bib5) 2022; 165 (10.1016/j.psep.2022.04.059_bib48) 2019 Du (10.1016/j.psep.2022.04.059_bib14) 2019; 129 Liu (10.1016/j.psep.2022.04.059_bib41) 2021; 148 Singh (10.1016/j.psep.2022.04.059_bib54) 2020; 202 Ge (10.1016/j.psep.2022.04.059_bib24) 2022; 158 Tetzlaff (10.1016/j.psep.2022.04.059_bib56) 2021; 12 Jia (10.1016/j.psep.2022.04.059_bib32) 2021; 71 Shappell (10.1016/j.psep.2022.04.059_bib66) 2001; 1 |
| References_xml | – year: 1990 ident: bib52 article-title: Human Error – volume: 1 start-page: 59 year: 2001 end-page: 86 ident: bib66 article-title: Applying reason: the human factors analysis and classification system (HFACS) publication-title: Hum. Factors Aerosp. Saf. – volume: 129 start-page: 264 year: 2019 end-page: 279 ident: bib14 article-title: Unstable failure of gas-bearing coal-rock combination bodies: insights from physical experiments and numerical simulations publication-title: Process Saf. Environ. Prot. – volume: 134 start-page: 1 year: 2020 end-page: 23 ident: bib20 article-title: Accidents analysis and prevention of coal and gas outburst: understanding human errors in accidents publication-title: Process Saf. Environ. Prot. – volume: 148 year: 2022 ident: bib9 article-title: Transfer study of safety training based on mapping knowledge domain – overview, factors and future publication-title: Saf. Sci. – volume: 117 start-page: 254 year: 2018 end-page: 266 ident: bib59 article-title: Prevention and control of major accidents (MAs) and particularly serious accidents (PSAs) in the industrial domain in China: current status, recent efforts and future prospects publication-title: Process Saf. Environ. Prot. – volume: 134 start-page: 47 year: 2020 end-page: 82 ident: bib21 article-title: The development history of accident causation models in the past 100 years: 24Model, a more modern accident causation model publication-title: Process Saf. Environ. Prot. – volume: 142 start-page: 854 year: 2017 end-page: 866 ident: bib30 article-title: The synthetic geo-ecological environmental evaluation of a coastal coal-mining city using spatiotemporal big data: a case study in Longkou, China publication-title: J. Clean. Prod. – volume: 110 start-page: 84 year: 2022 end-page: 98 ident: bib36 article-title: A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry publication-title: J. Process Control – volume: 128 start-page: 158 year: 2019 end-page: 166 ident: bib8 article-title: Experimental study of the impact of publication-title: Process Saf. Environ. Prot. – volume: 85 year: 2021 ident: bib34 article-title: The evolution of the HFACS method used in analysis of marine accidents: a review publication-title: Int. J. Ind. Ergon. – volume: 25 year: 2021 ident: bib50 article-title: Using big data to improve safety performance: an application of process mining to enhance data visualisation publication-title: Big Data Res. – start-page: 73 year: 2021 ident: bib16 article-title: From correlation to causality: path analysis of accident-causing factors in coal mines from the perspective of human, machinery, environment and management publication-title: Resour. Policy – volume: 42 start-page: 237 year: 2004 end-page: 270 ident: bib38 article-title: A new accident model for engineering safer systems publication-title: Saf. Sci. – volume: 165 year: 2022 ident: bib5 article-title: Development of a dynamic event tree (DET) to analyze SBO accident in VVER-1000/V446 nuclear reactor publication-title: Ann. Nuclear Energy – volume: 146 year: 2022 ident: bib49 article-title: Understanding work to transform training: a study for accident prevention in the telecommunications sector publication-title: Saf. Sci. – volume: 157 start-page: 493 year: 2022 end-page: 508 ident: bib44 article-title: Investigation and modeling of the LPG tank truck accident in Wenling, China publication-title: Process Saf. Environ. Prot. – volume: 136 start-page: 78 year: 2020 end-page: 91 ident: bib72 article-title: Root causes of coal mine accidents: characteristics of safety culture deficiencies based on accident statistics publication-title: Process Saf. Environ. Prot. – volume: 235 start-page: 551 year: 2019 end-page: 557 ident: bib6 article-title: Expansion energy of publication-title: Fuel – volume: 94 year: 2021 ident: bib57 article-title: Investigation on micro-surface adhesion of coals and implications for gas occurrence and coal and gas outburst mechanism publication-title: J. Nat. Gas Sci. Eng. – volume: 158 start-page: 644 year: 2022 end-page: 660 ident: bib24 article-title: A new accident causation theory based on systems thinking and its systemic accident analysis method of work systems publication-title: Process Saf. Environ. Prot. – volume: 113 start-page: 467 year: 2018 end-page: 482 ident: bib69 article-title: Human factors risk assessment and management: process safety in engineering publication-title: Process Saf. Environ. Prot. – volume: 150 start-page: 110 year: 2021 end-page: 122 ident: bib4 article-title: A data-driven Bayesian network learning method for process fault diagnosis publication-title: Process Saf. Environ. Prot. – start-page: 221 year: 2022 ident: bib7 article-title: Predicting human reliability based on probabilistic mission completion time using Bayesian network publication-title: Reliab. Eng. Syst. Saf. – volume: 158 start-page: 146 year: 2022 end-page: 158 ident: bib12 article-title: Dynamic probability analysis on accident chain of atmospheric tank farm based on Bayesian network publication-title: Process Saf. Environ. Prot. – volume: 122 start-page: 169 year: 2019 end-page: 184 ident: bib68 article-title: Risk prediction and factors risk analysis based on IFOA-GRNN and apriori algorithms: application of artificial intelligence in accident prevention publication-title: Process Saf. Environ. Prot. – volume: 143 year: 2021 ident: bib35 article-title: Safety management system (SMS) framework development - mitigating the critical safety factors affecting health and safety performance in construction projects publication-title: Saf. Sci. – volume: 66 year: 2021 ident: bib45 article-title: Technological accidents caused by floods: the case of the Saga prefecture oil spill, Japan 2019 publication-title: Int. J. Disaster Risk Reduct. – volume: 207 year: 2021 ident: bib11 article-title: An accident causation model based on safety information cognition and its application publication-title: Reliab. Eng. Syst. Saf. – volume: 104 start-page: 99 year: 2018 end-page: 109 ident: bib27 article-title: Back to the future: what do accident causation models tell us about accident prediction? publication-title: Saf. Sci. – volume: 71 year: 2021 ident: bib32 article-title: LPG leakage and explosion publication-title: J. Loss Prev. Process Ind. – volume: 219 year: 2022 ident: bib71 article-title: Data-driven accident consequence assessment on urban gas pipeline network based on machine learning publication-title: Reliab. Eng. Syst. Saf. – volume: 146 year: 2021 ident: bib37 article-title: Adaptive non-conform behaviour in accident investigations in the road based heavy goods transport sector publication-title: Saf. Sci. – volume: 149 start-page: 839 year: 2021 end-page: 849 ident: bib39 article-title: Optimize the early warning time of coal and gas outburst by multi-source information fusion method during the tunneling process publication-title: Process Saf. Environ. Prot. – volume: 13 start-page: 161 year: 1997 end-page: 180 ident: bib55 article-title: Mining generalized association rules publication-title: Future Gener. Comput. Syst. – volume: 45 start-page: 487 year: 2017 end-page: 501 ident: bib43 article-title: Numerical assessment of CMM drainage in the remote unloaded publication-title: J. Nat. Gas Sci. Eng. – year: 2019 ident: bib48 article-title: Detailed Rules for Prevention and Control of Coal and Gas Outburst – volume: 122 year: 2022 ident: bib62 article-title: Analysis of precursor information for coal and gas outbursts induced by roadway tunneling: a simulation test study for the whole process publication-title: Tunnel. Undergr. Space Technol. – volume: 159 start-page: 887 year: 2022 end-page: 898 ident: bib22 article-title: Risk assessment for gas transmission station based on cloud model based multilevel Bayesian network from the perspective of multi-flow intersecting theory publication-title: Process Saf. Environ. Prot. – volume: 143 year: 2021 ident: bib31 article-title: Research trends in publication-title: Saf. Sci. – volume: 12 start-page: 201 year: 2021 end-page: 208 ident: bib56 article-title: Safety culture: a retrospective analysis of occupational health and safety mining reports publication-title: Saf. Health Work – volume: 121 start-page: 606 year: 2020 end-page: 618 ident: bib73 article-title: Identification of critical publication-title: Saf. Sci. – volume: 131 start-page: 178 year: 2019 end-page: 188 ident: bib10 article-title: Case study of the Tianjin accident: application of barrier and systems analysis to understand challenges to industry loss prevention in emerging economies publication-title: Process Saf. Environ. Prot. – volume: 153 start-page: 320 year: 2021 end-page: 328 ident: bib51 article-title: Construction and analysis of a coal mine accident causation network based on text mining publication-title: Process Saf. Environ. Prot. – volume: 106 start-page: 52 year: 2017 end-page: 59 ident: bib26 article-title: Major accident modelling using spare data publication-title: Process Saf. Environ. Prot. – volume: 118 start-page: 119 year: 2019 end-page: 125 ident: bib23 article-title: The main challenges of safety science publication-title: Saf. Sci. – volume: 133 year: 2021 ident: bib65 article-title: Application of Bayesian network and artificial intelligence to reduce accident/incident rates in oil & gas companies publication-title: Saf. Sci. – volume: 155 start-page: 455 year: 2021 end-page: 465 ident: bib2 article-title: Text publication-title: Process Saf. Environ. Prot. – volume: 248 year: 2021 ident: bib67 article-title: Goaf gas drainage and its impact on coal oxidation behaviour: a conceptual model publication-title: Int. J. Coal Geol. – volume: 149 start-page: 817 year: 2021 end-page: 830 ident: bib28 article-title: Fuzzy Bayesian network based on an improved similarity aggregation method for risk assessment of storage tank accident publication-title: Process Saf. Environ. Prot. – volume: 133 start-page: 1 year: 2020 end-page: 17 ident: bib64 article-title: Coal-gas compound dynamic disasters in China: a review publication-title: Process Saf. Environ. Prot. – volume: 7 year: 2019 ident: bib18 article-title: The accident path of coal mine gas explosion based on 24model: a case study of the Ruizhiyuan gas explosion accident publication-title: Processes – volume: 146 year: 2022 ident: bib29 article-title: Causal factors and risk assessment of fall accidents in the U.S. construction industry: a comprehensive data analysis (2000-2020) publication-title: Saf. Sci. – volume: 125 year: 2020 ident: bib3 article-title: Optimised big data analytics for health and safety hazards prediction in power infrastructure operations publication-title: Saf. Sci. – volume: 135 start-page: 282 year: 2020 end-page: 293 ident: bib13 article-title: Risk-based safety measure allocation to prevent and mitigate storage fire hazards publication-title: Process Saf. Environ. Prot. – volume: 149 start-page: 758 year: 2021 end-page: 775 ident: bib25 article-title: Evolution of safety and security risk assessment methodologies towards the use of Bayesian networks in process industries publication-title: Process Saf. Environ. Prot. – volume: 55 start-page: 253 year: 2018 end-page: 266 ident: bib15 article-title: Investigation of the acoustic emission characteristics during deformation and failure of gas-bearing coal-rock combined bodies publication-title: J. Loss Prev. Process Ind. – volume: 102 start-page: 134 year: 2018 end-page: 143 ident: bib19 article-title: Analysis of an explosion accident at Dangyang Power Plant in Hubei, China: Causes and lessons learned publication-title: Saf. Sci. – volume: 1 start-page: 167 year: 2018 end-page: 168 ident: bib33 article-title: New prospecting progress using information and big data of coal and oil exploration holes on sandstone-type uranium deposit in North China publication-title: China Geol. – volume: 148 start-page: 711 year: 2021 end-page: 723 ident: bib41 article-title: Evaluation of underground coal gas drainage performance: mine site measurements and parametric sensitivity analysis publication-title: Process Saf. Environ. Prot. – volume: 222 year: 2022 ident: bib47 article-title: Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems publication-title: Reliab. Eng. Syst. Saf. – volume: 202 year: 2020 ident: bib54 article-title: A novel data mining approach for analysis of accident paths and performance assessment of risk control systems publication-title: Reliab. Eng. Syst. Saf. – volume: 124 start-page: 213 year: 2019 end-page: 222 ident: bib75 article-title: Experimental study on the influence of publication-title: Process Saf. Environ. Prot. – volume: 104 start-page: 164 year: 2018 end-page: 178 ident: bib60 article-title: Work safety in China’s Thirteenth Five-Year plan period (2016-2020): currentstatus, new challenges and future tasks publication-title: Saf. Sci. – volume: 222 start-page: 687 year: 2018 end-page: 694 ident: bib42 article-title: Coal macromolecular structural characteristic and its influence on coalbed methane publication-title: Fuel. – volume: 132 start-page: 59 year: 2019 end-page: 72 ident: bib53 article-title: A novel fuzzy Bayesian network-HFACS (FBN-HFACS) model for analyzing human and organization factors (HOFs) in process accidents publication-title: Process Saf. Environ. Prot. – volume: 12 start-page: 42 year: 2021 end-page: 50 ident: bib46 article-title: Theoretical model for accident prevention based on root cause analysis with graph theory publication-title: Saf. Health Work – volume: 198 start-page: 1 year: 2018 end-page: 13 ident: bib40 article-title: Architecture, stress state and permeability of a fault zone in Jiulishan coal mine, China: Implication for coal and gas outbursts publication-title: Int. J. Coal Geol. – volume: 143 year: 2021 ident: bib61 article-title: Big data in safety management: an overview publication-title: Saf. Sci. – volume: 150 start-page: 416 year: 2021 end-page: 432 ident: bib1 article-title: Pandemic risk management using engineering safety principles publication-title: Process Saf. Environ. Prot. – volume: 65 year: 2020 ident: bib70 article-title: Relation between senior managers’ safety leadership and safety behavior in the Chinese petrochemical industry publication-title: J. Loss Prev. Process Ind. – volume: 92 start-page: 189 year: 2016 end-page: 201 ident: bib74 article-title: Analysis 320 coal mine accidents using structural equation modeling with unsafe conditions of the rules and regulations as exogenous variables publication-title: Accid. Anal. Prev. – volume: 14 start-page: 570 year: 2017 end-page: 578 ident: bib17 article-title: Comparative study of HFACS and the 24Model accident causation models publication-title: Petrol. Sci. – volume: 245 year: 2022 ident: bib58 article-title: Analysis and assessment of ship collision accidents using fault tree and multiple correspondence analysis publication-title: Ocean Eng. – volume: 75 year: 2022 ident: bib63 article-title: Routes to failure: analysis of chemical accidents using the HFACS publication-title: J. Loss Prev. Process Ind. – volume: 14 start-page: 570 year: 2017 ident: 10.1016/j.psep.2022.04.059_bib17 article-title: Comparative study of HFACS and the 24Model accident causation models publication-title: Petrol. Sci. doi: 10.1007/s12182-017-0171-4 – volume: 158 start-page: 644 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib24 article-title: A new accident causation theory based on systems thinking and its systemic accident analysis method of work systems publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2021.12.036 – volume: 150 start-page: 110 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib4 article-title: A data-driven Bayesian network learning method for process fault diagnosis publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2021.04.004 – volume: 142 start-page: 854 year: 2017 ident: 10.1016/j.psep.2022.04.059_bib30 article-title: The synthetic geo-ecological environmental evaluation of a coastal coal-mining city using spatiotemporal big data: a case study in Longkou, China publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2016.07.011 – volume: 165 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib5 article-title: Development of a dynamic event tree (DET) to analyze SBO accident in VVER-1000/V446 nuclear reactor publication-title: Ann. Nuclear Energy doi: 10.1016/j.anucene.2021.108786 – volume: 150 start-page: 416 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib1 article-title: Pandemic risk management using engineering safety principles publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2021.04.014 – start-page: 73 issue: No: 102157 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib16 article-title: From correlation to causality: path analysis of accident-causing factors in coal mines from the perspective of human, machinery, environment and management publication-title: Resour. Policy – volume: 134 start-page: 1 year: 2020 ident: 10.1016/j.psep.2022.04.059_bib20 article-title: Accidents analysis and prevention of coal and gas outburst: understanding human errors in accidents publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2019.11.026 – volume: 149 start-page: 817 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib28 article-title: Fuzzy Bayesian network based on an improved similarity aggregation method for risk assessment of storage tank accident publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2021.03.017 – volume: 207 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib11 article-title: An accident causation model based on safety information cognition and its application publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2020.107363 – volume: 106 start-page: 52 year: 2017 ident: 10.1016/j.psep.2022.04.059_bib26 article-title: Major accident modelling using spare data publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2016.12.004 – volume: 198 start-page: 1 year: 2018 ident: 10.1016/j.psep.2022.04.059_bib40 article-title: Architecture, stress state and permeability of a fault zone in Jiulishan coal mine, China: Implication for coal and gas outbursts publication-title: Int. J. Coal Geol. doi: 10.1016/j.coal.2018.09.002 – volume: 136 start-page: 78 year: 2020 ident: 10.1016/j.psep.2022.04.059_bib72 article-title: Root causes of coal mine accidents: characteristics of safety culture deficiencies based on accident statistics publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2020.01.024 – volume: 235 start-page: 551 year: 2019 ident: 10.1016/j.psep.2022.04.059_bib6 article-title: Expansion energy ofcoalgasfor the initiation ofcoalandgasoutbursts publication-title: Fuel doi: 10.1016/j.fuel.2018.07.132 – volume: 149 start-page: 839 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib39 article-title: Optimize the early warning time of coal and gas outburst by multi-source information fusion method during the tunneling process publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2021.03.029 – volume: 7 issue: 73 year: 2019 ident: 10.1016/j.psep.2022.04.059_bib18 article-title: The accident path of coal mine gas explosion based on 24model: a case study of the Ruizhiyuan gas explosion accident publication-title: Processes – volume: 146 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib49 article-title: Understanding work to transform training: a study for accident prevention in the telecommunications sector publication-title: Saf. Sci. doi: 10.1016/j.ssci.2021.105520 – volume: 155 start-page: 455 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib2 article-title: Textminingofaccidentreports using semi-supervised keyword extraction and topic modeling publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2021.09.022 – volume: 122 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib62 article-title: Analysis of precursor information for coal and gas outbursts induced by roadway tunneling: a simulation test study for the whole process publication-title: Tunnel. Undergr. Space Technol. doi: 10.1016/j.tust.2021.104349 – volume: 222 start-page: 687 year: 2018 ident: 10.1016/j.psep.2022.04.059_bib42 article-title: Coal macromolecular structural characteristic and its influence on coalbed methaneadsorption publication-title: Fuel. doi: 10.1016/j.fuel.2018.03.015 – volume: 71 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib32 article-title: LPG leakage and explosionaccidentanalysisbased on a new SAA method publication-title: J. Loss Prev. Process Ind. doi: 10.1016/j.jlp.2021.104467 – volume: 122 start-page: 169 year: 2019 ident: 10.1016/j.psep.2022.04.059_bib68 article-title: Risk prediction and factors risk analysis based on IFOA-GRNN and apriori algorithms: application of artificial intelligence in accident prevention publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2018.11.019 – volume: 104 start-page: 164 year: 2018 ident: 10.1016/j.psep.2022.04.059_bib60 article-title: Work safety in China’s Thirteenth Five-Year plan period (2016-2020): currentstatus, new challenges and future tasks publication-title: Saf. Sci. doi: 10.1016/j.ssci.2018.01.012 – volume: 1 start-page: 59 year: 2001 ident: 10.1016/j.psep.2022.04.059_bib66 article-title: Applying reason: the human factors analysis and classification system (HFACS) publication-title: Hum. Factors Aerosp. Saf. – volume: 104 start-page: 99 year: 2018 ident: 10.1016/j.psep.2022.04.059_bib27 article-title: Back to the future: what do accident causation models tell us about accident prediction? publication-title: Saf. Sci. doi: 10.1016/j.ssci.2017.12.018 – volume: 1 start-page: 167 issue: 1 year: 2018 ident: 10.1016/j.psep.2022.04.059_bib33 article-title: New prospecting progress using information and big data of coal and oil exploration holes on sandstone-type uranium deposit in North China publication-title: China Geol. doi: 10.31035/cg2018017 – year: 2019 ident: 10.1016/j.psep.2022.04.059_bib48 – volume: 153 start-page: 320 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib51 article-title: Construction and analysis of a coal mine accident causation network based on text mining publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2021.07.032 – volume: 134 start-page: 47 year: 2020 ident: 10.1016/j.psep.2022.04.059_bib21 article-title: The development history of accident causation models in the past 100 years: 24Model, a more modern accident causation model publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2019.11.027 – volume: 65 year: 2020 ident: 10.1016/j.psep.2022.04.059_bib70 article-title: Relation between senior managers’ safety leadership and safety behavior in the Chinese petrochemical industry publication-title: J. Loss Prev. Process Ind. – volume: 110 start-page: 84 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib36 article-title: A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry publication-title: J. Process Control doi: 10.1016/j.jprocont.2021.12.011 – volume: 117 start-page: 254 year: 2018 ident: 10.1016/j.psep.2022.04.059_bib59 article-title: Prevention and control of major accidents (MAs) and particularly serious accidents (PSAs) in the industrial domain in China: current status, recent efforts and future prospects publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2018.04.025 – volume: 85 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib34 article-title: The evolution of the HFACS method used in analysis of marine accidents: a review publication-title: Int. J. Ind. Ergon. – year: 1990 ident: 10.1016/j.psep.2022.04.059_bib52 – volume: 143 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib35 article-title: Safety management system (SMS) framework development - mitigating the critical safety factors affecting health and safety performance in construction projects publication-title: Saf. Sci. doi: 10.1016/j.ssci.2021.105402 – volume: 143 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib61 article-title: Big data in safety management: an overview publication-title: Saf. Sci. doi: 10.1016/j.ssci.2021.105414 – volume: 121 start-page: 606 year: 2020 ident: 10.1016/j.psep.2022.04.059_bib73 article-title: Identification of criticalcausesof constructionaccidentsin China using amodelbased on system thinking and case analysis publication-title: Saf. Sci. doi: 10.1016/j.ssci.2019.04.038 – volume: 42 start-page: 237 year: 2004 ident: 10.1016/j.psep.2022.04.059_bib38 article-title: A new accident model for engineering safer systems publication-title: Saf. Sci. doi: 10.1016/S0925-7535(03)00047-X – volume: 13 start-page: 161 issue: 2–3 year: 1997 ident: 10.1016/j.psep.2022.04.059_bib55 article-title: Mining generalized association rules publication-title: Future Gener. Comput. Syst. doi: 10.1016/S0167-739X(97)00019-8 – volume: 219 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib71 article-title: Data-driven accident consequence assessment on urban gas pipeline network based on machine learning publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2021.108216 – volume: 124 start-page: 213 year: 2019 ident: 10.1016/j.psep.2022.04.059_bib75 article-title: Experimental study on the influence ofcoaloxidation oncoalandgasoutburstduring invasion of magmatic rocks intocoalseams publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2019.02.017 – volume: 202 year: 2020 ident: 10.1016/j.psep.2022.04.059_bib54 article-title: A novel data mining approach for analysis of accident paths and performance assessment of risk control systems publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2020.107041 – volume: 135 start-page: 282 year: 2020 ident: 10.1016/j.psep.2022.04.059_bib13 article-title: Risk-based safety measure allocation to prevent and mitigate storage fire hazards publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2020.01.008 – volume: 55 start-page: 253 year: 2018 ident: 10.1016/j.psep.2022.04.059_bib15 article-title: Investigation of the acoustic emission characteristics during deformation and failure of gas-bearing coal-rock combined bodies publication-title: J. Loss Prev. Process Ind. doi: 10.1016/j.jlp.2018.06.013 – volume: 125 year: 2020 ident: 10.1016/j.psep.2022.04.059_bib3 article-title: Optimised big data analytics for health and safety hazards prediction in power infrastructure operations publication-title: Saf. Sci. doi: 10.1016/j.ssci.2020.104656 – volume: 75 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib63 article-title: Routes to failure: analysis of chemical accidents using the HFACS publication-title: J. Loss Prev. Process Ind. doi: 10.1016/j.jlp.2021.104695 – volume: 245 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib58 article-title: Analysis and assessment of ship collision accidents using fault tree and multiple correspondence analysis publication-title: Ocean Eng. doi: 10.1016/j.oceaneng.2021.110514 – volume: 133 start-page: 1 year: 2020 ident: 10.1016/j.psep.2022.04.059_bib64 article-title: Coal-gas compound dynamic disasters in China: a review publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2019.10.006 – volume: 131 start-page: 178 year: 2019 ident: 10.1016/j.psep.2022.04.059_bib10 article-title: Case study of the Tianjin accident: application of barrier and systems analysis to understand challenges to industry loss prevention in emerging economies publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2019.08.028 – volume: 146 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib37 article-title: Adaptive non-conform behaviour in accident investigations in the road based heavy goods transport sector publication-title: Saf. Sci. – volume: 132 start-page: 59 year: 2019 ident: 10.1016/j.psep.2022.04.059_bib53 article-title: A novel fuzzy Bayesian network-HFACS (FBN-HFACS) model for analyzing human and organization factors (HOFs) in process accidents publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2019.08.012 – volume: 133 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib65 article-title: Application of Bayesian network and artificial intelligence to reduce accident/incident rates in oil & gas companies publication-title: Saf. Sci. doi: 10.1016/j.ssci.2020.104981 – volume: 25 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib50 article-title: Using big data to improve safety performance: an application of process mining to enhance data visualisation publication-title: Big Data Res. doi: 10.1016/j.bdr.2021.100210 – volume: 102 start-page: 134 year: 2018 ident: 10.1016/j.psep.2022.04.059_bib19 article-title: Analysis of an explosion accident at Dangyang Power Plant in Hubei, China: Causes and lessons learned publication-title: Saf. Sci. doi: 10.1016/j.ssci.2017.10.010 – volume: 149 start-page: 758 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib25 article-title: Evolution of safety and security risk assessment methodologies towards the use of Bayesian networks in process industries publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2021.03.031 – volume: 146 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib29 article-title: Causal factors and risk assessment of fall accidents in the U.S. construction industry: a comprehensive data analysis (2000-2020) publication-title: Saf. Sci. doi: 10.1016/j.ssci.2021.105537 – volume: 94 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib57 article-title: Investigation on micro-surface adhesion of coals and implications for gas occurrence and coal and gas outburst mechanism publication-title: J. Nat. Gas Sci. Eng. doi: 10.1016/j.jngse.2021.104115 – volume: 45 start-page: 487 year: 2017 ident: 10.1016/j.psep.2022.04.059_bib43 article-title: Numerical assessment of CMM drainage in the remote unloadedcoalbody: insights ofgeostress-reliefgasmigration andcoalpermeability publication-title: J. Nat. Gas Sci. Eng. doi: 10.1016/j.jngse.2017.06.017 – volume: 158 start-page: 146 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib12 article-title: Dynamic probability analysis on accident chain of atmospheric tank farm based on Bayesian network publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2021.10.040 – volume: 12 start-page: 201 issue: 2 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib56 article-title: Safety culture: a retrospective analysis of occupational health and safety mining reports publication-title: Saf. Health Work doi: 10.1016/j.shaw.2020.12.001 – volume: 248 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib67 article-title: Goaf gas drainage and its impact on coal oxidation behaviour: a conceptual model publication-title: Int. J. Coal Geol. doi: 10.1016/j.coal.2021.103878 – volume: 128 start-page: 158 year: 2019 ident: 10.1016/j.psep.2022.04.059_bib8 article-title: Experimental study of the impact ofgasadsorption oncoalandgasoutburstdynamic effects publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2019.05.020 – volume: 222 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib47 article-title: Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2022.108433 – volume: 118 start-page: 119 year: 2019 ident: 10.1016/j.psep.2022.04.059_bib23 article-title: The main challenges of safety science publication-title: Saf. Sci. doi: 10.1016/j.ssci.2019.05.006 – volume: 66 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib45 article-title: Technological accidents caused by floods: the case of the Saga prefecture oil spill, Japan 2019 publication-title: Int. J. Disaster Risk Reduct. doi: 10.1016/j.ijdrr.2021.102634 – volume: 159 start-page: 887 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib22 article-title: Risk assessment for gas transmission station based on cloud model based multilevel Bayesian network from the perspective of multi-flow intersecting theory publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2022.01.036 – volume: 113 start-page: 467 year: 2018 ident: 10.1016/j.psep.2022.04.059_bib69 article-title: Human factors risk assessment and management: process safety in engineering publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2017.11.018 – volume: 12 start-page: 42 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib46 article-title: Theoretical model for accident prevention based on root cause analysis with graph theory publication-title: Saf. Health Work doi: 10.1016/j.shaw.2020.09.004 – volume: 157 start-page: 493 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib44 article-title: Investigation and modeling of the LPG tank truck accident in Wenling, China publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2021.10.022 – volume: 143 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib31 article-title: Research trends inminingaccidentsstudy: a systematic literature review publication-title: Saf. Sci. – volume: 148 start-page: 711 year: 2021 ident: 10.1016/j.psep.2022.04.059_bib41 article-title: Evaluation of underground coal gas drainage performance: mine site measurements and parametric sensitivity analysis publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2021.01.054 – start-page: 221 issue: No:108324 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib7 article-title: Predicting human reliability based on probabilistic mission completion time using Bayesian network publication-title: Reliab. Eng. Syst. Saf. – volume: 148 year: 2022 ident: 10.1016/j.psep.2022.04.059_bib9 article-title: Transfer study of safety training based on mapping knowledge domain – overview, factors and future publication-title: Saf. Sci. doi: 10.1016/j.ssci.2022.105678 – volume: 129 start-page: 264 year: 2019 ident: 10.1016/j.psep.2022.04.059_bib14 article-title: Unstable failure of gas-bearing coal-rock combination bodies: insights from physical experiments and numerical simulations publication-title: Process Saf. Environ. Prot. doi: 10.1016/j.psep.2019.06.029 – volume: 92 start-page: 189 year: 2016 ident: 10.1016/j.psep.2022.04.059_bib74 article-title: Analysis 320 coal mine accidents using structural equation modeling with unsafe conditions of the rules and regulations as exogenous variables publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2016.02.021 |
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