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Selective Maintenance for Multi-state Systems with Loading Strategy

In: Selective Maintenance Modelling and Optimization

Author

Listed:
  • 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)

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.

Suggested Citation

  • Yu Liu & Hong-Zhong Huang & Tao Jiang, 2023. "Selective Maintenance for Multi-state Systems with Loading Strategy," Springer Series in Reliability Engineering, in: Selective Maintenance Modelling and Optimization, chapter 0, pages 65-75, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-031-17323-3_4
    DOI: 10.1007/978-3-031-17323-3_4
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