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Optimal condition-based and age-based opportunistic maintenance policy for a two-unit series system

机译:两机系列系统的基于状态和年龄的最优机会维护策略

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A new optimal maintenance policy considering the condition monitoring and age information is considered for a two-unit repairable system. Unit 1 is the core component of the system, which is subject to soft failure observed only through inspections. Unit 2 is subject to hard failure and the age information representing usage of unit 2 is available. Unlike the previous maintenance models where maintenance actions can be initiated only at the inspection epochs, we assume that corrective maintenance action would be carried out immediately when unit 2 fails. Furthermore, a preventive maintenance is performed on the units if the deterioration level of unit 1 or the usage of unit 2 exceeds certain maintenance threshold for that unit. Under this maintenance strategy, when one of the two units is correctively or preventively maintained, there is an opportunity to maintain the other unit. The maintenance problem is formulated and solved in the semi-Markov decision process framework. A formula for the average maintenance cost is derived and the optimal thresholds for preventive and opportunistic maintenance of the two units minimizing the long run expected average cost are determined. A practical example of a two-unit wind turbine system is provided, and a comparison analysis with other maintenance policies shows an outstanding performance of the proposed policy.
机译:对于两单元可修复系统,考虑了一种新的最优维护策略,其中考虑了状态监测和年龄信息。单元1是系统的核心组件,只有通过检查才能发现软故障。单元2遭受硬故障,并且可获得表示单元2使用情况的年龄信息。与以前的维护模式只能在检查时期开始维护操作的情况不同,我们假设在单元2出现故障时将立即执行纠正性维护操作。此外,如果单元1的劣化水平或单元2的使用超过该单元的某个维护阈值,则对该单元执行预防性维护。在这种维护策略下,当对两个单元之一进行纠正或预防性维护时,就有机会维护另一个单元。维护问题是在半马尔可夫决策过程框架中制定和解决的。推导了平均维护成本的公式,并确定了将两个单元的长期预期平均成本降至最低的预防性和机会性维护的最佳阈值。提供了一个两单元风力涡轮机系统的实际示例,并且与其他维护策略的比较分析显示了所提出策略的出色性能。

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