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

Published on Dec 1, 2017in Reliability Engineering & System Safety4.04
· DOI :10.1016/j.ress.2017.05.025
Hongyan Dui9
Estimated H-index: 9
(Zhengzhou University),
Shubin Si14
Estimated H-index: 14
(NPU: Northwestern Polytechnical University),
Richard C.M. Yam33
Estimated H-index: 33
(CityU: City University of Hong Kong)
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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.
  • References (31)
  • Citations (12)
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Cited By12
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#1Hongyan Dui (Zhengzhou University)H-Index: 9
#2Shubin Si (NPU: Northwestern Polytechnical University)H-Index: 14
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Nov 1, 2018 in ICSRS (International Conference System Reliability and Safety)
#1William Fauriat (Université Paris-Saclay)
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