{"title":"一种利用历史数据估计系统可靠性的新方法","authors":"Yue Chen, P. Hou, X. Yi","doi":"10.1109/SDPC.2019.00103","DOIUrl":null,"url":null,"abstract":"This study proposes a method, building a system reliability model using historical data, to produce an accurate estimation of system reliability. This method employs an optimal interpolation function, generated by optimization theory and historical data, to estimate system reliability. In this paper, the method is provided with a detailed explanation and an evaluation with an experiment. The evaluation indicates that the method can build the objective model and estimate the system reliability accurately with the growth of the amount of historical data.","PeriodicalId":403595,"journal":{"name":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A New Method For Estimating System Reliability Using Historical Data\",\"authors\":\"Yue Chen, P. Hou, X. Yi\",\"doi\":\"10.1109/SDPC.2019.00103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study proposes a method, building a system reliability model using historical data, to produce an accurate estimation of system reliability. This method employs an optimal interpolation function, generated by optimization theory and historical data, to estimate system reliability. In this paper, the method is provided with a detailed explanation and an evaluation with an experiment. The evaluation indicates that the method can build the objective model and estimate the system reliability accurately with the growth of the amount of historical data.\",\"PeriodicalId\":403595,\"journal\":{\"name\":\"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SDPC.2019.00103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SDPC.2019.00103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Method For Estimating System Reliability Using Historical Data
This study proposes a method, building a system reliability model using historical data, to produce an accurate estimation of system reliability. This method employs an optimal interpolation function, generated by optimization theory and historical data, to estimate system reliability. In this paper, the method is provided with a detailed explanation and an evaluation with an experiment. The evaluation indicates that the method can build the objective model and estimate the system reliability accurately with the growth of the amount of historical data.