A cost-based integrated importance measure of system components for preventive maintenance

被引：61

作者：

Dui, Hongyan ^{[1
]}

Si, Shubin ^{[2
]}

Yam, Richard C. M. ^{[3
]}

机构：

[1] Zhengzhou Univ, Sch Management Engn, Zhengzhou 450001, Henan, Peoples R China

[2] Northwestern Polytech Univ, Sch Mech Engn, Xian 710072, Shaanxi, Peoples R China

[3] City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon Tong, Hong Kong, Peoples R China

来源：

RELIABILITY ENGINEERING & SYSTEM SAFETY | 2017年 / 168卷

基金：

中国国家自然科学基金;

关键词：

Preventive maintenance; Maintenance cost; System reliability; Importance measure; MULTISTATE SYSTEMS; BIRNBAUM IMPORTANCE; REPAIRABLE SYSTEMS; NATVIG MEASURES; RELIABILITY; CRITICALITY;

D O I：

10.1016/j.ress.2017.05.025

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Preventive maintenance may be performed on a few selected components when a component fails. Importance measures can be used to identify the most important component that requires maintenance. However, this process involves two problems: (a) the preventive maintenance time of the selected component may be bigger than the maintenance time of the failed component; (b) the most important component may incur the highest maintenance cost. Traditional importance measures do not consider the possible effect of maintenance time and cost, which significantly affect the improvement of system reliability. Given the joint effect of component maintenance cost and time on system reliability, this study proposes a cost-based integrated importance measure (IIM) to identify the component or group of components that may be selected for preventive maintenance. The characteristics of cost-based IIM are examined to determine the relationships among failure rates, shape parameters, and the scale parameters of different components. Finally, an application to a wind turbine system is used to illustrate its usage. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：98 / 104

页数：7

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