Selective Maintenance for Multi-state Systems with Loading Strategy

Yu Liu (), Hong-Zhong Huang () and Tao Jiang ()
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Yu Liu: University of Electronic Science and Technology of China
Hong-Zhong Huang: University of Electronic Science and Technology of China
Tao Jiang: University of Electronic Science and Technology of China

Chapter Chapter 4 in Selective Maintenance Modelling and Optimization, 2023, pp 65-75 from Springer

Abstract: Abstract The load under which a system operates has a significant impact on failure behaviors of systems and their components. System reliability can be improved with not only an optimal maintenance strategy but also an optimal load distribution among components. This chapter proposes an approach to address the load distribution problem for multi-state systems using a selective maintenance strategy. A joint optimization model was formulated to optimize load distribution and allocation of limited maintenance budget to maximize the probability of the system successfully completing the next mission. A genetic algorithm was employed to solve the optimization problem. The results indicated that the proposed method achieves better results than traditional methods without considering load distribution.

Keywords: Selective maintenance; Load distribution; Multi-state systems; Universal generating function (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-17323-3_4

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DOI: 10.1007/978-3-031-17323-3_4

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