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A maintenance optimization model for mission-oriented systems based on Wiener degradation

机译：基于维纳退化的面向任务系统的维护优化模型

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摘要

Over the past few decades, condition-based maintenance (CBM) has attracted many researchers because of its effectiveness and practical significance. This paper deals with mission-oriented systems subject to gradual degradation modeled by a Wiener stochastic process within the context of CBM. For a mission-oriented system, the mission usually has constraints on availability/reliability, the opportunity for maintenance actions, and the monitoring type (continuous or discrete). Furthermore, in practice, a mission-oriented system may undertake some preventive maintenance (PM) and after such PM, the system may return to an intermediate state between an as-good-as new state and an as-bad-as old state, i.e., the PM is not perfect and only partially restores the system. However, very few CBM models integrated these mission constraints together with an imperfect nature of the PM into the course of optimizing the PM policy. This paper develops a model to optimize the PM policy in terms of the maintenance related cost jointly considering the mission constraints and the imperfect PM nature. A numerical example is presented to demonstrate the proposed model. The comparison with the simulated results and the sensitivity analysis show the usefulness of the optimization model for mission-oriented system maintenance presented in this paper.
机译：在过去的几十年中，基于状态的维护（CBM）由于其有效性和实际意义而吸引了许多研究人员。本文研究的是面向任务的系统，该系统在CBM的背景下会经历由Wiener随机过程建模的逐步退化。对于面向任务的系统，任务通常在可用性/可靠性，维护行动的机会以及监视类型（连续或离散）方面受到限制。此外，在实践中，面向任务的系统可能会进行一些预防性维护（PM），并且在此类PM之后，系统可能会恢复为新状态和旧状态之间的中间状态，即，PM并不完美，只能部分恢复系统。但是，很少有CBM模型将这些任务约束以及PM的不完善特性整合到优化PM策略的过程中。本文结合任务约束和不完善的PM特性，开发了一种基于维护相关成本优化PM策略的模型。数值例子表明了所提出的模型。与仿真结果的比较和灵敏度分析表明，本文提出的优化模型对面向任务的系统维护具有实用性。

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