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

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

24 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)98-104
Journal / PublicationReliability Engineering and System Safety
Volume168
Online published10 May 2017
Publication statusPublished - Dec 2017

Abstract

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.

Research Area(s)

  • Importance measure, Maintenance cost, Preventive maintenance, System reliability