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A reliability-based approach to optimize preventive maintenance scheduling for coherent systems

机译:一种基于可靠性的方法,可以优化相关系统的预防性维护计划

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In this paper, the problem of reliability-based periodic preventive maintenance (PM) planning for systems with deteriorating components has been considered. The objective is to maintain a certain level of reliability with minimal total maintenance related cost. In the proposed approach, the planning horizon is divided into pre-specified inspection periods. For any given interval, a decision must be made to perform one of the three actions on each component (simple service, preventive repair and preventive replacement). Any of these activities has a distinct effect on the reliability of the components and the corresponding cost based on the required resources. The cost function includes repair cost, replacement cost, system downtime cost and random failure cost. It is assumed that the random failures follow a Non-Homogeneous Poisson Process. Minimum system reliability and PM resources are the main constraints considered. Since the problem under study is combinatorial in nature involving several non-linear decision variables, a simulated annealing algorithm is employed to provide good solutions within reasonable search time. Some illustrative examples have been solved to assess the performance of the proposed approach.
机译:在本文中,已经考虑了具有恶化部件的系统的基于可靠性的定期预防性维护(PM)规划问题。目的是以最小的总维护相关成本保持一定的可靠性。在建议的方法中,计划范围被划分为预先指定的检查周期。对于任何给定的时间间隔,必须决定对每个组件执行三个操作之一(简单服务,预防性维修和预防性更换)。这些活动中的任何一项都会对组件的可靠性和基于所需资源的相应成本产生明显影响。成本函数包括维修成本,更换成本,系统停机时间成本和随机故障成本。假定随机失效遵循非均匀泊松过程。最低的系统可靠性和PM资源是考虑的主要限制因素。由于所研究的问题本质上是组合的,涉及多个非线性决策变量,因此采用了模拟退火算法,可以在合理的搜索时间内提供良好的解决方案。解决了一些说明性示例,以评估所提出方法的性能。

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