{"title":"蒙特卡罗可靠性仿真","authors":"Rodney Benson, Darryl W. Kellner","doi":"10.1109/RAMS48030.2020.9153600","DOIUrl":null,"url":null,"abstract":"This paper provides an introduction to Monte Carlo simulation and its applicability to reliability engineering. It provides an example of how Monte Carlo simulation can be used to help answer questions regarding the length of time complex systems can operate in a degraded state before falling below performance thresholds, and how it can be used to assist in program development by comparing alternative designs. By developing a custom Monte Carlo model, various outputs can be provided to provide insights into how changes to the design affect the reliability of the system.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Monte Carlo Simulation for Reliability\",\"authors\":\"Rodney Benson, Darryl W. Kellner\",\"doi\":\"10.1109/RAMS48030.2020.9153600\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper provides an introduction to Monte Carlo simulation and its applicability to reliability engineering. It provides an example of how Monte Carlo simulation can be used to help answer questions regarding the length of time complex systems can operate in a degraded state before falling below performance thresholds, and how it can be used to assist in program development by comparing alternative designs. By developing a custom Monte Carlo model, various outputs can be provided to provide insights into how changes to the design affect the reliability of the system.\",\"PeriodicalId\":360096,\"journal\":{\"name\":\"2020 Annual Reliability and Maintainability Symposium (RAMS)\",\"volume\":\"28 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/RAMS48030.2020.9153600\",\"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/RAMS48030.2020.9153600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper provides an introduction to Monte Carlo simulation and its applicability to reliability engineering. It provides an example of how Monte Carlo simulation can be used to help answer questions regarding the length of time complex systems can operate in a degraded state before falling below performance thresholds, and how it can be used to assist in program development by comparing alternative designs. By developing a custom Monte Carlo model, various outputs can be provided to provide insights into how changes to the design affect the reliability of the system.
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