A dynamic unreliability assessment and optimal maintenance strategies for multistate weighted k‐out‐of‐n:F systems |
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| Authors: | Hadi Akbarzade Khorshidi Indra Gunawan Yousef Ibrahim |
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| Affiliation: | 1. Faculty of Science, Monash University, Melbourne, VIC, Australia;2. Entrepreneurship, Commercialisation and Innovation Centre, The University of Adelaide, Adelaide, SA, Australia;3. School of Engineering and Information Technology, Federation University Australia, Churchill, VIC, Australia |
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| Abstract: | In this paper, a dynamic evaluation of the multistate weighted k‐out‐of‐n:F system is presented in an unreliability viewpoint. The expected failure cost of components is used as an unreliability index. Using failure cost provides an opportunity to employ financial concepts in system unreliability estimation. Hence, system unreliability and system cost can be compared easily in order to making decision. The components' probabilities are computed over time to model the dynamic behavior of the system. The whole system has been assessed by recursive algorithm approach. As a result, a bi‐objective optimization model can be developed to find optimal decisions on maintenance strategies. Finally, the application of the proposed model is investigated via a transportation system case. Matlab programming is developed for the case, and genetic algorithm is used to solve the optimization model. Copyright © 2016 John Wiley & Sons, Ltd. |
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| Keywords: | multistate weighted k‐out‐of‐n:F system dynamic assessment unreliability evaluation bi‐objective optimization failure cost recursive algorithm |
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