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An optimal repair approach for large-scale systems using queuing theory

机译:排队论的大型系统最优修复方法

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An optimal repair approach for large-scale systems is proposed based on queuing theory. In this approach, system steady states corresponding to the number of failed components are obtained by analysing the transition probabilities between states. Because the transition probabilities of two adjacent states are not zero, the transition process, as one of Markov processes, is further determined as the birth-death process which is an important part of queuing theory. According to the queue theory, the long-run expected number and probability distribution function of failed components are derived. On the basis of above analysis, a constrained optimisation problem in terms of cost utility is formulated. Finally, the numerical examples are given to demonstrate the effectiveness of our optimal model.
机译:提出了一种基于排队论的大型系统最优维修方法。在这种方法中,通过分析状态之间的转换概率,可以获得与故障组件数量相对应的系统稳态。由于两个相邻状态的转移概率不为零,因此作为马尔可夫过程之一的转移过程被进一步确定为出生死亡过程,这是排队论的重要组成部分。根据排队论,推导了失效零件的长期期望数和概率分布函数。在以上分析的基础上,提出了一种基于成本效用的约束优化问题。最后,通过数值例子说明了我们最优模型的有效性。

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