{"title":"Reliability and performance modeling for mission-oriented k-out-of-n system under common cause failures","authors":"Xiujie Zhao, M. Xie, Qiang Feng","doi":"10.1109/ICRMS.2016.8050159","DOIUrl":null,"url":null,"abstract":"This paper proposes a reliability and performance analysis and modeling methodology for mission-oriented k-out-of-n systems. The system is assumed to suffer both independent internal failures and external common cause shocks, of which arrivals are both modeled by Poisson processes. Periodic missions are assigned to the system due to a fixed schedule. A performance measure is introduced based on the mission workload and number of components working in the system. By modeling the failure modes on such systems with a Markov chain model, the defined reliability and performance is given in analytical forms. In a following numerical example, we illustrate the reliability and performance for such systems by the proposed approach.","PeriodicalId":347031,"journal":{"name":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRMS.2016.8050159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper proposes a reliability and performance analysis and modeling methodology for mission-oriented k-out-of-n systems. The system is assumed to suffer both independent internal failures and external common cause shocks, of which arrivals are both modeled by Poisson processes. Periodic missions are assigned to the system due to a fixed schedule. A performance measure is introduced based on the mission workload and number of components working in the system. By modeling the failure modes on such systems with a Markov chain model, the defined reliability and performance is given in analytical forms. In a following numerical example, we illustrate the reliability and performance for such systems by the proposed approach.