维护时间有限的系统的CBM策略

Tianyi Wu, Xiaobing Ma, Yu Zhao
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引用次数: 0

摘要

针对一个只能在有限时间内修复的逐渐退化的系统,提出了一种基于状态的维修策略。定期检查以测量退化程度,当退化程度达到预防和故障阈值时,分别对系统进行预防性或纠正性修复。本文的预防性和纠正性维护措施都被认为是不完善的。每次维护后,系统都会恢复到“比旧好”的状态,但维护的有效性会随着数量的增加而随机降低。这样,在经过足够次数的维护后,系统只能在很短的时间内保持预期的功能。因此,系统不可能无限期地使用,需要系统地确定其使用寿命,使用寿命的定义是维护动作的次数。在此基础上,通过最小化寿命周期成本率,将系统的使用寿命与定期检查间隔和预防阈值联合优化。建立了一个非齐次马尔可夫模型来描述被维护系统的演化和相应的成本函数。数值算例说明了该维护策略的应用。
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A CBM policy for systems subject to finite maintenance times
This paper proposes a condition-based maintenance (CBM) policy for a gradually deteriorating system that could only be repaired for finite times. Periodical inspections are performed to measure the degradation level, and the system is preventively or correctively repaired when the level reaches the preventive and failure threshold, respectively. Both preventive and corrective maintenance actions in this paper are considered imperfect. After each maintenance action, the system is restored to a “better than old” state but the effectiveness of maintenance is stochastically reduced as its number increases. In this way, the system can only keep its desired function for a very small period after sufficient number of maintenances. Therefore, the system cannot be in service for infinite duration and its usage life which is defined as number of maintenance actions needs to be determined systematically. In this respect, system service life is jointly optimized with periodical inspection interval and preventive threshold by minimizing life-cycle cost rate. A nonhomogeneous Markov model is developed to describe the evolution of maintained system and corresponding cost function. Numerical examples are presented to illustrate the application of this maintenance policy.
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