{"title":"基于扩展退化率布朗运动的可靠性预测","authors":"Xuepeng Jiang, Bei Hong, Dengjia Fang","doi":"10.1109/ICRSE.2017.8030810","DOIUrl":null,"url":null,"abstract":"For considering the stochastic nature of storage conditions, an approximation procedure that extends the Brownian motion with extended degradation rate to incorporate the variations of stresses is proposed. The acceleration effects under the stochastic stresses are derived and verified by extensive simulation studies. The presented methodology is proved to be a powerful tool in relating accelerated aging experiments to field applications.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reliability prediction based on Brownian motion with extended degradation rate\",\"authors\":\"Xuepeng Jiang, Bei Hong, Dengjia Fang\",\"doi\":\"10.1109/ICRSE.2017.8030810\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For considering the stochastic nature of storage conditions, an approximation procedure that extends the Brownian motion with extended degradation rate to incorporate the variations of stresses is proposed. The acceleration effects under the stochastic stresses are derived and verified by extensive simulation studies. The presented methodology is proved to be a powerful tool in relating accelerated aging experiments to field applications.\",\"PeriodicalId\":317626,\"journal\":{\"name\":\"2017 Second International Conference on Reliability Systems Engineering (ICRSE)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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.2017.8030810\",\"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.2017.8030810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reliability prediction based on Brownian motion with extended degradation rate
For considering the stochastic nature of storage conditions, an approximation procedure that extends the Brownian motion with extended degradation rate to incorporate the variations of stresses is proposed. The acceleration effects under the stochastic stresses are derived and verified by extensive simulation studies. The presented methodology is proved to be a powerful tool in relating accelerated aging experiments to field applications.