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Optimization Of Maintenance Policy Using The Proportional Hazard Model

机译:使用比例风险模型优化维护策略

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The evolution of system reliability depends on its structure as well as on the evolution of its components reliability. The latter is a function of component age during a system's operating life. Component aging is strongly affected by maintenance activities performed on the system. In this work, we consider two categories of maintenance activities: corrective maintenance (CM) and preventive maintenance (PM). Maintenance actions are characterized by their ability to reduce this age. PM consists of actions applied on components while they are operating, whereas CM actions occur when the component breaks down. In this paper, we expound a new method to integrate the effect of CM while planning for the PM policy. The proportional hazard function was used as a modeling tool for that purpose. Interesting results were obtained when comparison between policies that take into consideration the CM effect and those that do not is established.
机译:系统可靠性的演进取决于其结构以及组件可靠性的演进。后者是系统运行期间组件寿命的函数。组件的老化受到系统上执行的维护活动的强烈影响。在这项工作中,我们考虑了两类维护活动:纠正性维护(CM)和预防性维护(PM)。维护措施的特点是能够降低该寿命。 PM由在组件运行时应用于组件的动作组成,而CM动作在组件发生故障时发生。在本文中,我们阐述了一种在规划PM策略时整合CM效果的新方法。为此,将比例风险函数用作建模工具。在比较考虑CM效果的政策与未考虑CM效果的政策之间进行比较时,获得了有趣的结果。

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