{"title":"冷备系统可靠性基准置信下限由几何级数组成","authors":"Lisheng Yang, Haiying Zheng","doi":"10.1109/ICCIAUTOM.2011.6183951","DOIUrl":null,"url":null,"abstract":"This article is to discuss a cold standby system which consists of l series working components and n − 1 independent cold standby components. Suppose that the component follows geometric distribution. The precise Fiducial lower confidence limit for system reliability is obtained, when only a parameter is unknown. And when all of the parameters are unknown, a method is offered to resolve the Fiducial approximate lower confidence limit for system reliability. At the same time Monte Carlo simulation is carried out to verify the conclusions.","PeriodicalId":177039,"journal":{"name":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fiducial lower confidence limit for the reliability of cold standby system consists of geometric series components\",\"authors\":\"Lisheng Yang, Haiying Zheng\",\"doi\":\"10.1109/ICCIAUTOM.2011.6183951\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article is to discuss a cold standby system which consists of l series working components and n − 1 independent cold standby components. Suppose that the component follows geometric distribution. The precise Fiducial lower confidence limit for system reliability is obtained, when only a parameter is unknown. And when all of the parameters are unknown, a method is offered to resolve the Fiducial approximate lower confidence limit for system reliability. At the same time Monte Carlo simulation is carried out to verify the conclusions.\",\"PeriodicalId\":177039,\"journal\":{\"name\":\"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIAUTOM.2011.6183951\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIAUTOM.2011.6183951","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fiducial lower confidence limit for the reliability of cold standby system consists of geometric series components
This article is to discuss a cold standby system which consists of l series working components and n − 1 independent cold standby components. Suppose that the component follows geometric distribution. The precise Fiducial lower confidence limit for system reliability is obtained, when only a parameter is unknown. And when all of the parameters are unknown, a method is offered to resolve the Fiducial approximate lower confidence limit for system reliability. At the same time Monte Carlo simulation is carried out to verify the conclusions.