Optimal Selective Maintenance Strategy for Multi-State Systems Under Imperfect Maintenance
Optimal Selective Maintenance Strategy for Multi-State Systems Under Imperfect Maintenance
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DOI：
10.1109/tr.2010.2046798
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发表时间：
2010-05
影响因子：
5.9
通讯作者：
Yu Liu;Hongzhong Huang
中科院分区：
文献类型：
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作者：
Yu Liu;Hongzhong Huang
许多系统需要执行一系列的任务，任何两个连续的任务之间有有限的休息。在这种情况下，最广泛使用的维护策略之一是选择性维护，其中选择可行的维护动作的子集来执行，目的是在有限的维护资源下实现后续使命的成功。传统的选择性维护优化方法只针对二进制系统。然而，工业应用中的大多数系统在劣化过程中具有两个以上的状态。在这项工作中，一个选择性的维修政策的多状态系统（MSS）组成的二进制状态元素。考虑到维修质量的不完善，木岛模型进行了审查，并建立了一个成本-维修质量的关系，考虑作为一个函数的维修成本的年龄减少因素。此外，在通用生成函数（UGF）方法的帮助下，维修MSS成功完成后续使命的概率制定。在枚举的方法，遗传算法（GA）被用来解决复杂的优化问题，其中多状态系统，并考虑到不完善的维修模型。通过对某电厂输煤系统的实例研究，验证了该方法的有效性。最后，对考虑不完美维修与不考虑不完美维修的策略进行了对比分析，得出了将不完美维修质量纳入选择性维修的结论。
Many systems are required to perform a series of missions with finite breaks between any two consecutive missions. In such a case, one of the most widely used maintenance policies is a selective maintenance in which a subset of feasible maintenance actions is chosen to be performed with the aim at achieving the subsequent mission success under limited maintenance resources. Traditional selective maintenance optimization reported in the literature only focuses on binary state systems. Most systems in industrial applications, however, have more than two states in the deterioration process. In this work, a selective maintenance policy for multi-state systems (MSS) consisting of binary state elements is investigated. Taking the imperfect maintenance quality into consideration, the Kijima model is reviewed, and a cost-maintenance quality relationship which considers the age reduction factor as a function in terms of maintenance cost is established. Moreover, with the assistance of the universal generating function (UGF) method, the probability of the repaired MSS successfully completing the subsequent mission is formulated. In place of enumerative methods, a genetic algorithm (GA) is employed to solve the complicated optimization problem where both multi-state systems, and imperfect maintenance models are taken into account. The effectiveness of the proposed method is demonstrated via a case study of a power station coal transportation system. Finally, a comparative analysis between the strategies with and without considering imperfect maintenance is conducted, and it is concluded that incorporating imperfect maintenance quality into selective maintenance achieves better outcomes.