{"title":"Belief reliability evaluation of a quad redundant servo system: A case study","authors":"Shaolei Yu, Qingyuan Zhang, M. Wen, R. Kang","doi":"10.1109/ICRSE.2017.8030775","DOIUrl":null,"url":null,"abstract":"Belief reliability is a new reliability metric considering both aleatory uncertainty and epistemic uncertainty. This paper will give a case study of belief reliability theory, focusing on the reliability evaluation of a quad redundant servo system. In the case study, the belief reliabilities of four components are first evaluated by estimating design margin, aleatory uncertainty factor, and epistemic uncertainty factor. Then, the system belief reliability is calculated based on a minimal cut theorem. Some measures for improving system reliability are finally given according to the evaluation results.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","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.2017.8030775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Belief reliability is a new reliability metric considering both aleatory uncertainty and epistemic uncertainty. This paper will give a case study of belief reliability theory, focusing on the reliability evaluation of a quad redundant servo system. In the case study, the belief reliabilities of four components are first evaluated by estimating design margin, aleatory uncertainty factor, and epistemic uncertainty factor. Then, the system belief reliability is calculated based on a minimal cut theorem. Some measures for improving system reliability are finally given according to the evaluation results.