{"title":"基于退化数据和环境数据的现场可靠性预测","authors":"Liu Zhenyu, Ma Xiaobing, Zhao Yu","doi":"10.1109/RAMS.2013.6517755","DOIUrl":null,"url":null,"abstract":"This paper outlines a method that can be used for field reliability prediction using degradation data and environmental data. From different perspectives about the effects of dynamic environment on field reliability, we proposed two methods to relate the environmental variables to degradation process. The modeling technique and estimation method are illustrated by an example to predict the field failure time distribution of a product. The result of this study shows that it is possible to predict field performance by using ADT results, if done carefully and with good characterization of field environmental conditions.","PeriodicalId":189714,"journal":{"name":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Field reliability prediction based on degradation data and environmental data\",\"authors\":\"Liu Zhenyu, Ma Xiaobing, Zhao Yu\",\"doi\":\"10.1109/RAMS.2013.6517755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper outlines a method that can be used for field reliability prediction using degradation data and environmental data. From different perspectives about the effects of dynamic environment on field reliability, we proposed two methods to relate the environmental variables to degradation process. The modeling technique and estimation method are illustrated by an example to predict the field failure time distribution of a product. The result of this study shows that it is possible to predict field performance by using ADT results, if done carefully and with good characterization of field environmental conditions.\",\"PeriodicalId\":189714,\"journal\":{\"name\":\"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMS.2013.6517755\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMS.2013.6517755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Field reliability prediction based on degradation data and environmental data
This paper outlines a method that can be used for field reliability prediction using degradation data and environmental data. From different perspectives about the effects of dynamic environment on field reliability, we proposed two methods to relate the environmental variables to degradation process. The modeling technique and estimation method are illustrated by an example to predict the field failure time distribution of a product. The result of this study shows that it is possible to predict field performance by using ADT results, if done carefully and with good characterization of field environmental conditions.