{"title":"时变机构可靠性分析的新度量","authors":"Shuang Zhou, Jianguo Zhang, Jie Wu","doi":"10.1109/RAMS48030.2020.9153617","DOIUrl":null,"url":null,"abstract":"In classical time-dependent mechanism reliability analysis, probability or fuzzy reliability theory is employed. However, the method based on probability theory requires probability distributions of all the uncertain parameters, but the accurate distributions of parameters in real life are sometimes difficult to obtain. Moreover, fuzzy theory fails to describe many subjective random variables due to the duality of randomness. In this paper, we utilize uncertain variables to uniformly represent the subjective random and epistemic uncertainties by quoting the uncertainty theory.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"653 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A New Metric for Time-Dependent Mechanism Reliability Analysis\",\"authors\":\"Shuang Zhou, Jianguo Zhang, Jie Wu\",\"doi\":\"10.1109/RAMS48030.2020.9153617\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In classical time-dependent mechanism reliability analysis, probability or fuzzy reliability theory is employed. However, the method based on probability theory requires probability distributions of all the uncertain parameters, but the accurate distributions of parameters in real life are sometimes difficult to obtain. Moreover, fuzzy theory fails to describe many subjective random variables due to the duality of randomness. In this paper, we utilize uncertain variables to uniformly represent the subjective random and epistemic uncertainties by quoting the uncertainty theory.\",\"PeriodicalId\":360096,\"journal\":{\"name\":\"2020 Annual Reliability and Maintainability Symposium (RAMS)\",\"volume\":\"653 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Annual Reliability and Maintainability Symposium (RAMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMS48030.2020.9153617\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Annual Reliability and Maintainability Symposium (RAMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMS48030.2020.9153617","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Metric for Time-Dependent Mechanism Reliability Analysis
In classical time-dependent mechanism reliability analysis, probability or fuzzy reliability theory is employed. However, the method based on probability theory requires probability distributions of all the uncertain parameters, but the accurate distributions of parameters in real life are sometimes difficult to obtain. Moreover, fuzzy theory fails to describe many subjective random variables due to the duality of randomness. In this paper, we utilize uncertain variables to uniformly represent the subjective random and epistemic uncertainties by quoting the uncertainty theory.