International Society of Science and Applied Technologies |
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A Practical Preventive Maintenance for Aging Multi-State K-out-of-n Systems | ||||
Author | Chun-Ho Wang
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Co-Author(s) | Chao-Hui Huang
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Abstract | This study aims at the aging multi-state k-out-of-n systems to establish a practical preventive maintenance (PM) model from the perspective of components. The established PM model is to maximize system availability subject to total maintenance cost. Non-homogeneous continuous time Markov models (NHCTMMs) are utilized to evaluate the system availability, and using non-homogeneous continuous time Markov reward models (NHCTMRMs), to evaluate the total maintenance cost. This study uses genetic algorithm (GA) to optimize the established PM model. A simulation case verifies the efficacy of the proposed approach.
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Keywords | Aging components, preventive maintenance, k-out-of-n system, Markov chain, GA | |||
Article #: 23-024 |
August 3-5, 2017 - Chicago, Illinois, U.S.A. |