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基于系统可靠性的组件综合重要度变化机理分析
引用本文:兑红炎,陈立伟,周毫,王宁.基于系统可靠性的组件综合重要度变化机理分析[J].运筹与管理,2018,27(2):79-84.
作者姓名:兑红炎  陈立伟  周毫  王宁
作者单位:1.郑州大学 管理工程学院,河南 郑州 450001; 2.郑州大学 电气工程学院,河南 郑州 450001; 3.长安大学 汽车学院,陕西 西安 710064
基金项目:国家自然科学基金资助项目(71501173,71571168,61401403,71401016);河南省基础与前沿研究基金资助项目(142300410359);郑州大学青年教师启动基金资助项目(1511326001);郑州大学管理工程学院创新发展基金(20170603)
摘    要:重要度理论是一种重要的系统薄弱环节识别和评估方法,被广泛应用于系统可靠性设计优化、维修资源分配、维修决策以及风险分析等领域。本文以组件状态转移率为纽带,分析了组件综合重要度对系统可靠性的影响机理,识别对系统可靠性变化影响最大的组件,综合重要度评估了单位时间内系统可靠性的变化。首先给出综合重要度的定义;其次讨论系统可靠性的组件重要度表示方法;最后在串联和并联系统中,分析综合重要度随着组件状态转移率的变化机理。

关 键 词:重要度  状态转移率  系统可靠性  组件  
收稿时间:2016-06-30

Evolution Mechanism of Component Integrated Importance Measure Based on the System Reliability
DUI Hong-yan,CHEN Li-wei,ZHOU Hao,WANG Ning.Evolution Mechanism of Component Integrated Importance Measure Based on the System Reliability[J].Operations Research and Management Science,2018,27(2):79-84.
Authors:DUI Hong-yan  CHEN Li-wei  ZHOU Hao  WANG Ning
Institution:1.School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China; 2.School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China; 3.School of Automobile, Chang’an University, Xi’an, 710064, China
Abstract:Importance measure is an important approach to recognize and evaluate the system weakness. It is widely used in optimal design of system reliability, maintenance resources allocation, maintenance decision, risk analysis, etc. In this paper, based on the transition rates of component states, the effect mechanisms of the integrated importance measure on the system reliability are analyzed. They are used to identify the important component for improving the system reliability most. The relationships between the system reliability and importance measures are discussed and the evolution mechanisms of integrated importance measure with the transition rates change of component states are given in series and parallel systems. The integrated importance measure evaluates the change of the system reliability in unit time.
Keywords:importance measure  transition rate  system reliability  component  
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