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Maintenance optimisation of a multi-state series-parallel system considering economic dependence and state-dependent inspection intervals

机译:考虑经济依赖和状态依赖检查间隔的多状态串并联系统的维护优化

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This paper presents a maintenance optimisation method for a multi-state series-parallel system considering economic dependence and state-dependent inspection intervals. The objective function considered in the paper is the average revenue per unit time calculated based on the semi-regenerative theory and the universal generating function (UGF). A new algorithm using the stochastic ordering is also developed in this paper to reduce the search space of maintenance strategies and to enhance the efficiency of optimisation algorithms. A numerical simulation is presented in the study to evaluate the efficiency of the proposed maintenance strategy and optimisation algorithms. The simulation result reveals that maintenance strategies with opportunistic maintenance and state-dependent inspection intervals are more cost-effective when the influence of economic dependence and inspection cost is significant. The study further demonstrates that the optimisation algorithm proposed in this paper has higher computational efficiency than the commonly employed heuristic algorithms.
机译:提出了一种考虑经济相关性和状态相关检查间隔的多状态串并联系统维护优化方法。本文考虑的目标函数是根据半再生理论和通用生成函数(UGF)计算的每单位时间的平均收益。为了减少维护策略的搜索空间,提高优化算法的效率,本文还提出了一种采用随机排序的新算法。在研究中进行了数值模拟,以评估所提出的维护策略和优化算法的效率。仿真结果表明,当经济依赖性和检查成本的影响较大时,具有机会性维护和状态相关检查间隔的维护策略更具成本效益。研究进一步证明,本文提出的优化算法比常用的启发式算法具有更高的计算效率。

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