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

Hongyan Dui, Shubin Si and Richard C.M. Yam

Reliability Engineering and System Safety, 2017, vol. 168, issue C, 98-104

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.

Keywords: Preventive maintenance; Maintenance cost; System reliability; Importance measure (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (30)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:168:y:2017:i:c:p:98-104

DOI: 10.1016/j.ress.2017.05.025

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