{"title":"基于PFMEA和BN的混合过程耦合危害分析方法","authors":"Yang Wu, T. Zhao, Jiayun Chu","doi":"10.1109/ICRSE.2017.8030814","DOIUrl":null,"url":null,"abstract":"The coupling of man-machine-environment is one of the important hazardous causes in complex processes, which is currently lack of effective analysis methods on the subsequent impacts. In this paper, a hybrid coupling hazard analysis method applying the core ideas of Process Failure Mode and Effects Analysis (PFMEA) and Bayesian Network (BN) is proposed to decompose and describe the complex processes, and to determine the boundary conditions. Coupling hazard model is proposed to analyze the impact on the subsequent processes. BN method is used to model the accident process and evaluate the probability of the accident. Finally, the feasibility and effectiveness of the proposed models and methods are illustrated using a product case.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A hybrid process coupling hazard analysis method based on PFMEA and BN\",\"authors\":\"Yang Wu, T. Zhao, Jiayun Chu\",\"doi\":\"10.1109/ICRSE.2017.8030814\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The coupling of man-machine-environment is one of the important hazardous causes in complex processes, which is currently lack of effective analysis methods on the subsequent impacts. In this paper, a hybrid coupling hazard analysis method applying the core ideas of Process Failure Mode and Effects Analysis (PFMEA) and Bayesian Network (BN) is proposed to decompose and describe the complex processes, and to determine the boundary conditions. Coupling hazard model is proposed to analyze the impact on the subsequent processes. BN method is used to model the accident process and evaluate the probability of the accident. Finally, the feasibility and effectiveness of the proposed models and methods are illustrated using a product case.\",\"PeriodicalId\":317626,\"journal\":{\"name\":\"2017 Second International Conference on Reliability Systems Engineering (ICRSE)\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Second International Conference on Reliability Systems Engineering (ICRSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRSE.2017.8030814\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRSE.2017.8030814","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A hybrid process coupling hazard analysis method based on PFMEA and BN
The coupling of man-machine-environment is one of the important hazardous causes in complex processes, which is currently lack of effective analysis methods on the subsequent impacts. In this paper, a hybrid coupling hazard analysis method applying the core ideas of Process Failure Mode and Effects Analysis (PFMEA) and Bayesian Network (BN) is proposed to decompose and describe the complex processes, and to determine the boundary conditions. Coupling hazard model is proposed to analyze the impact on the subsequent processes. BN method is used to model the accident process and evaluate the probability of the accident. Finally, the feasibility and effectiveness of the proposed models and methods are illustrated using a product case.