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DISTRIBUTED MONITORING SYSTEM RELIABILITY ESTIMATION WITH CONSIDERATION OF STATISTICAL UNCERTAINTY

DISTRIBUTED MONITORING SYSTEM RELIABILITY ESTIMATION WITH CONSIDERATION OF STATISTICAL UNCERTAINTY

作     者:Yi Pengxing Yang Shuzi Du Runsheng Wu Bo Liu Shiyuan 

作者机构:School of Mechanical Science and EngineeringHuazhong University of Science and Technology Wuhan 430074 China 

出 版 物:《Chinese Journal of Mechanical Engineering》 (中国机械工程学报(英文版))

年 卷 期:2005年第18卷第4期

页      面:519-524页

核心收录:

学科分类:07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 070104[理学-应用数学] 0838[工学-公安技术] 0701[理学-数学] 

基  金:This project is supported by National Natural Science Foundation of China(No.50335020 No.50205009)Laboratory of Intelligence Manufacturing Technology of Ministry of Education of China(No.J100301) 

主  题:Distributed monitoring system Statistical uncertainty Variance Confidence intervals System reliability estimation 

摘      要:Taking into account the whole system structure and the component reliability estimation uncertainty, a system reliability estimation method based on probability and statistical theory for distributed monitoring systems is presented. The variance and confidence intervals of the system reliability estimation are obtained by expressing system reliability as a linear sum of products of higher order moments of component reliability estimates when the number of component or system survivals obeys binomial distribution. The eigenfunction of binomial distribution is used to determine the moments of component reliability estimates, and a symbolic matrix which can facilitate the search of explicit system reliability estimates is proposed. Furthermore, a case of application is used to illustrate the procedure, and with the help of this example, various issues such as the applicability of this estimation model, and measures to improve system reliability of monitoring systems are discussed.

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