{"title":"可靠性设计过程中的贝叶斯可靠性论证试验","authors":"Mingxiao Jiang, Daniel J. Dummer","doi":"10.1109/RAMS.2009.4914645","DOIUrl":null,"url":null,"abstract":"This paper illustrates how a Bayesian reliability demonstration test (BRDT) approach can be, and sometimes must be, integrated into a Design for Reliability (DFR) process. A simplified and effective BRDT algorithm is given, based on the prior distribution characteristics of reliability in the DFR process. The BRDT can significantly reduce sample size in reliability demonstration test, and serve as a powerful validation tool in DFR.","PeriodicalId":201787,"journal":{"name":"2009 Annual Reliability and Maintainability Symposium","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Bayesian reliability demonstration test in a Design for Reliability process\",\"authors\":\"Mingxiao Jiang, Daniel J. Dummer\",\"doi\":\"10.1109/RAMS.2009.4914645\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper illustrates how a Bayesian reliability demonstration test (BRDT) approach can be, and sometimes must be, integrated into a Design for Reliability (DFR) process. A simplified and effective BRDT algorithm is given, based on the prior distribution characteristics of reliability in the DFR process. The BRDT can significantly reduce sample size in reliability demonstration test, and serve as a powerful validation tool in DFR.\",\"PeriodicalId\":201787,\"journal\":{\"name\":\"2009 Annual Reliability and Maintainability Symposium\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Annual Reliability and Maintainability Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMS.2009.4914645\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Annual Reliability and Maintainability Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMS.2009.4914645","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bayesian reliability demonstration test in a Design for Reliability process
This paper illustrates how a Bayesian reliability demonstration test (BRDT) approach can be, and sometimes must be, integrated into a Design for Reliability (DFR) process. A simplified and effective BRDT algorithm is given, based on the prior distribution characteristics of reliability in the DFR process. The BRDT can significantly reduce sample size in reliability demonstration test, and serve as a powerful validation tool in DFR.
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