Importance measure of system reliability upgrade for multi-state consecutive k-out-of-n systems

被引：7

作者：

Dui, Hongyan ^{[1
]}

Si, Shubin ^{[1
]}

Cai, Zhiqiang ^{[1
]}

Sun, Shudong ^{[1
]}

Zhang, Yingfeng ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Sch Mechatron, Xian 710072, Peoples R China

来源：

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2012年 / 23卷 / 06期

基金：

国家高技术研究发展计划(863计划); 中国国家自然科学基金;

关键词：

system reliability; multi-state consecutive k-out-of-n system; improvement; Birnbaum importance; COMPONENT IMPORTANCE; CONNECTED SYSTEMS; G LINE;

D O I：

10.1109/JSEE.2012.00115

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Importance measures in reliability systems are used to identify weak components in contributing to a proper function of the system. Traditional importance measures mainly concerned the changing value of the system reliability caused by the change of the reliability of the component, and seldom considered the joint effect of the probability distribution, improvement rate of the object component. This paper studies the rate of the system reliability upgrading with an improvement of the component reliability for the multi-state consecutive k-out-of-n system. To verify the multi-state consecutive k-out-of-n system reliability upgrading by improving one component based on its improvement rate, an increasing potential importance (IPI) and its physical meaning are described at first. Secondly, the relationship between the IPI and Birnbaum importance measures are discussed. And the IPI for some different improvement actions of the component is further discussed. Thirdly, the characteristics of the IPI are analyzed. Finally, an application to an oil pipeline system is given.

引用

页码：936 / 942

页数：7

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