{"title":"用多值决策图分析多状态系统","authors":"J. Akers, R. Bergman, S. Amari, L. Xing","doi":"10.1109/RAMS.2008.4925820","DOIUrl":null,"url":null,"abstract":"A distinct characteristic of a multi-state system (MSS) is that the system and/or its components may exhibit multiple performance levels (or states) varying from perfect operation to complete failure. A MSS can model dependencies such as shared loads, performance degradation, imperfect fault coverage, standby redundancy, limited repair resources, and common-cause failures. The non-binary state property of a MSS and its components makes the analysis of such a system difficult. This paper proposes efficient algorithms for analyzing a MSS using multi-valued decision diagrams. Various reliability, availability, and performability measures are considered. The application and advantages of the proposed algorithms are demonstrated through an example.","PeriodicalId":143940,"journal":{"name":"2008 Annual Reliability and Maintainability Symposium","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Analysis of Multi-State Systems using multi-valued decision diagrams\",\"authors\":\"J. Akers, R. Bergman, S. Amari, L. Xing\",\"doi\":\"10.1109/RAMS.2008.4925820\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A distinct characteristic of a multi-state system (MSS) is that the system and/or its components may exhibit multiple performance levels (or states) varying from perfect operation to complete failure. A MSS can model dependencies such as shared loads, performance degradation, imperfect fault coverage, standby redundancy, limited repair resources, and common-cause failures. The non-binary state property of a MSS and its components makes the analysis of such a system difficult. This paper proposes efficient algorithms for analyzing a MSS using multi-valued decision diagrams. Various reliability, availability, and performability measures are considered. The application and advantages of the proposed algorithms are demonstrated through an example.\",\"PeriodicalId\":143940,\"journal\":{\"name\":\"2008 Annual Reliability and Maintainability Symposium\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Annual Reliability and Maintainability Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMS.2008.4925820\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Annual Reliability and Maintainability Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMS.2008.4925820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Multi-State Systems using multi-valued decision diagrams
A distinct characteristic of a multi-state system (MSS) is that the system and/or its components may exhibit multiple performance levels (or states) varying from perfect operation to complete failure. A MSS can model dependencies such as shared loads, performance degradation, imperfect fault coverage, standby redundancy, limited repair resources, and common-cause failures. The non-binary state property of a MSS and its components makes the analysis of such a system difficult. This paper proposes efficient algorithms for analyzing a MSS using multi-valued decision diagrams. Various reliability, availability, and performability measures are considered. The application and advantages of the proposed algorithms are demonstrated through an example.