A Joint Redundancy and Imperfect Maintenance Strategy Optimization for Multi-State Systems
A Joint Redundancy and Imperfect Maintenance Strategy Optimization for Multi-State Systems
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DOI：
10.1109/tr.2013.2259193
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发表时间：
2013-04
影响因子：
5.9
通讯作者：
Yu Liu;Hongzhong Huang;Zhonglai Wang;Yanfeng Li;Yuanjian Yang
中科院分区：
文献类型：
--
作者：
Yu Liu;Hongzhong Huang;Zhonglai Wang;Yanfeng Li;Yuanjian Yang
冗余分配问题已被广泛研究，其目的是确定在各个阶段的组件的最佳冗余水平，以实现所需的系统可靠性或可用性。在大多数现有的研究中，从故障的角度来看，故障元件被假设为修复后像新的一样好。由于劣化，修理过的元件不能总是恢复到几乎新的状态，除非用新的元件替换。提出了一种多状态系统联合冗余和不完全维修策略优化方法。沿着最优冗余度的确定，同时优化了不完全修复下的元件替换策略，以最小的平均费用达到期望的可用度。提出了一种广义不完全修复模型来描述多状态元件（MSE）修复后的随机行为，并引入了当MSE达到预定故障次数时进行替换的替换策略.提出了成本-维修效率关系，将不完全维修效率作为分配维修成本的函数，为在中小企业之间战略性地分配维修努力提供了灵活性。所提出的方法相比，现有的好处是证明和验证通过一个说明性的案例研究的三阶段煤炭运输系统。
The redundancy allocation problem has been extensively studied with the aim of determining optimal redundancy levels of components at various stages to achieve the required system reliability or availability. In most existing studies, failed elements are assumed to be as good as new after repair, from a failure perspective. Due to deterioration, the repaired element cannot always be restored to a virtually new condition unless replaced with a new element. In this paper, we present an approach of joint redundancy and imperfect maintenance strategy optimization for multi-state systems. Along with determining the optimal redundancy levels, the element replacement strategy under imperfect repair is also optimized simultaneously, so as to reach the desired availability with minimal average expenditure. A generalized imperfect repair model is proposed to characterize the stochastic behavior of multi-state elements (MSEs) after repair, and a replacement policy under which a MSE is replaced once it reaches the pre-determined number of failures is introduced. The cost-repair efficiency relation, which regards the imperfect repair efficiency as a function of assigned repair cost, is put forth to provide a flexibility of assigning repair efforts strategically among MSEs. The benefits of the proposed method compared to the existing ones are demonstrated and verified via an illustrative case study of a three-stage coal transportation system.