J. Garipova, A. Georgiev, Toncho Papanchev, Dimitar Zlatev
{"title":"医疗电子设备寿命数据分析及运行可靠性点估算","authors":"J. Garipova, A. Georgiev, Toncho Papanchev, Dimitar Zlatev","doi":"10.1109/ELMA.2019.8771582","DOIUrl":null,"url":null,"abstract":"The present paper is focused on a life data analysis of the Weibull model parameters through a parametric E-Bayesian assessment related to a set of medical electronic devices. The analysis is work on using a priori data for analyzing the current incoming information. The case study is purposed for formalize both the priori and accumulated sampling data obtained from real service information in the form of reliability empirical data. As a result of the case study and the current analysis, the point estimates of the operational reliability indices valid for the medical devices under study are experimentally obtained.","PeriodicalId":304248,"journal":{"name":"2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Life Data Analysis and Operational Reliability Point Estimation Related to Medical Electronic Devices\",\"authors\":\"J. Garipova, A. Georgiev, Toncho Papanchev, Dimitar Zlatev\",\"doi\":\"10.1109/ELMA.2019.8771582\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present paper is focused on a life data analysis of the Weibull model parameters through a parametric E-Bayesian assessment related to a set of medical electronic devices. The analysis is work on using a priori data for analyzing the current incoming information. The case study is purposed for formalize both the priori and accumulated sampling data obtained from real service information in the form of reliability empirical data. As a result of the case study and the current analysis, the point estimates of the operational reliability indices valid for the medical devices under study are experimentally obtained.\",\"PeriodicalId\":304248,\"journal\":{\"name\":\"2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELMA.2019.8771582\",\"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 16th Conference on Electrical Machines, Drives and Power Systems (ELMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELMA.2019.8771582","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Life Data Analysis and Operational Reliability Point Estimation Related to Medical Electronic Devices
The present paper is focused on a life data analysis of the Weibull model parameters through a parametric E-Bayesian assessment related to a set of medical electronic devices. The analysis is work on using a priori data for analyzing the current incoming information. The case study is purposed for formalize both the priori and accumulated sampling data obtained from real service information in the form of reliability empirical data. As a result of the case study and the current analysis, the point estimates of the operational reliability indices valid for the medical devices under study are experimentally obtained.
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