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Selective maintenance for binary systems under imperfect repair

机译：不完善维修下的二进制系统的选择性维护

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摘要

In many industrial environments like manufacturing systems, military equipments, power generation systems, etc., system maintenance is performed between successive missions. Different maintenance options (do nothing, minimal repair, preventive maintenance options or system overhaul, etc.) are possible for components in the system. However, it may not be feasible to do all possible maintenance actions during the maintenance break. Hence, optimal maintenance decision is required such that available resources are optimally used to maximize the next mission reliability. In this paper, a mathematical model is used to help in decision making for selective maintenance under imperfect repair. The level of maintenance actions determines the improvement in the component health. A model is formulated to relate the amount of resources used for maintenance to the level of imperfect repair. Further, a characteristic constant is used which determines the component response to resource consumed by a maintenance task. Selective maintenance model is formulated and illustrative examples are used to demonstrate the applicability and advantages of the proposed method. The results show that introduction of imperfect repair facilitates better allocation of maintenance resources.
机译：在许多工业环境中，例如制造系统，军事装备，发电系统等，系统维护是在连续执行任务之间进行的。系统中的组件可能有不同的维护选项（不执行任何操作，进行最少的维修，预防性维护选项或系统大修等）。但是，在维护中断期间执行所有可能的维护操作可能并不可行。因此，需要最佳的维护决策，以便最佳地利用可用资源来最大化下一个任务的可靠性。在本文中，使用数学模型来帮助做出不完善维修条件下的选择性维修决策。维护措施的级别决定了组件运行状况的改善。制定了一个模型，以将用于维护的资源量与不完善的维修水平相关联。此外，使用特征常数来确定组件对维护任务消耗的资源的响应。制定了选择性维护模型，并通过举例说明了该方法的适用性和优点。结果表明，采用不完善的维修方法可以更好地分配维护资源。

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