Proceedings of the Korean Reliability Society Conference (한국신뢰성학회:학술대회논문집)
- 2005.06a
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- Pages.131-137
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- 2005
Bayesian Method for Sequential Preventive Maintenance Policy
- Kim Hee Soo (School of Aerospace and Naval Architecture Chosun University) ;
- Kwon Young Sub (School of Aerospace and Naval Architecture Chosun University) ;
- Park Dong Ho (Department of Information and Statistics Hallym University)
- Published : 2005.06.01
Abstract
In this paper, we propose a Bayesian approach to determine the adaptive preventive maintenance(PM) policy for a general sequential imperfect PM model proposed by Lin, Zuo and Yam(2000) that PM not only reduces the effective age of the system but also changes the hazard rate function. Assuming that the failure times follow Weibull distribution, we adopt a Bayesian approach to update unknown parameters and determine the Bayesian optimal sequential PM policies. Finally, numerical examples of the optimal adaptive PM policy are presented for illustrative purposes.