A Practical Preventive Maintenance for Aging Multi-State K-out-of-n Systems  
Author Chun-Ho Wang
Co-Author(s) Chao-Hui Huang
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.
Keywords Aging components, preventive maintenance, k-out-of-n system, Markov chain, GA
    Article #:  23-024
Proceedings of the 23rd ISSAT International Conference on Reliability and Quality in Design
August 3-5, 2017 - Chicago, Illinois, U.S.A.