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Preventive maintenance modeling for multi-component systems with considering stochastic failures and disassembly sequence

机译:考虑随机故障和拆卸顺序的多组件系统的预防性维护建模

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The existed PM (preventive maintenance) efforts on multi-component systems usually ignore the PM opportunities at the component failure moments and the structure dependence among the system components. In this paper, a time window based PM model is proposed for multi-component systems with the stochastic failures and the disassembly sequence involved. Whenever one of the system components stochastically fails or reaches its reliability threshold, PM opportunities arise for other system components. A Monte-Carlo based algorithm is built up to simulate the stochastic failures and then to calculate the cumulative maintenance cost of the system. The optimal PM practice is obtained by minimizing the cumulative maintenance cost throughout the given time horizon. Finally, a numerical example is given to illustrate the calculation process and the availability of the proposed PM model. (C) 2015 Elsevier Ltd. All rights reserved.
机译:多组件系统上现有的PM(预防性维护)工作通常会忽略组件故障时刻的PM机会以及系统组件之间的结构依赖性。本文针对具有随机故障和拆卸顺序的多部件系统,提出了一种基于时间窗的永磁同步电机模型。每当系统组件之一随机出现故障或达到其可靠性阈值时,其他系统组件就会出现PM机会。建立了基于蒙特卡洛的算法来模拟随机故障,然后计算系统的累积维护成本。通过在给定的时间范围内最小化累积的维护成本,可以获得最佳的PM实践。最后,给出了一个数值例子来说明所提出的PM模型的计算过程和可用性。 (C)2015 Elsevier Ltd.保留所有权利。

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