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Selective maintenance modeling for a multistate system with multistate components under imperfect maintenance

机译:不完善维护下具有多状态组件的多状态系统的选择性维护建模

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摘要

In many industrial environments, maintenance is performed during successive mission breaks. In these conditions, it may not be feasible to perform all possible maintenance actions due to limited maintenance resources such as time, budget, repairman availability, etc. A subset of maintenance actions is then performed on selected components such that the system is able to meet the next mission requirement. Such a maintenance policy is called selective maintenance. In this article, a selective maintenance strategy is developed for a MultiState System (MSS). The system can have several finite levels of performance in an MSS. Previous studies on selective maintenance have solely focused on MSSs with binary components. However, components in an MSS may be in more than two possible states. Hence, a series-parallel MSS that consists of multistate components is considered in this article. Imperfect maintenance of a component is considered to be a maintenance option, along with the replacement and the do-nothing options. Maintenance resources need to be allocated such that maximum system reliability during the next mission is ensured. A universal generating function is used to determine system reliability. An illustrative example is presented that depicts the advantages of utilizing imperfect maintenance/repair options.
机译:在许多工业环境中,维护是在连续的任务中断期间执行的。在这些情况下,由于有限的维护资源(例如时间,预算,维修人员可用性等),执行所有可能的维护操作可能是不可行的。然后对选定的组件执行维护操作的子集,以使系统能够满足下一个任务要求。这种维护策略称为选择性维护。在本文中,为多状态系统(MSS)开发了选择性维护策略。该系统在MSS中可以具有几个有限的性能水平。先前有关选择性维护的研究仅集中于具有二进制组件的MSS。但是,MSS中的组件可能处于两个以上的可能状态。因此,本文考虑了由多状态组件组成的串并联MSS。组件的不完美维护以及替换和不执行任何操作都被视为维护选项。需要分配维护资源,以确保在下一次任务期间获得最大的系统可靠性。通用生成函数用于确定系统可靠性。提供了一个说明性示例,该示例描述了使用不完善的维护/修复选项的优势。

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