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Periodic Inspection Optimization of a k-Out-of-n Load-Sharing System

机译:k出n负荷分担系统的定期检查优化

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In this paper, we consider a k-out-of-n load-sharing system with identical components sharing a certain amount of load. Each time a component fails, its load is distributed to the remaining components; we assume an increase in load increases the hazard rates of the remaining components. The system is periodically inspected to detect failed components. Two cases may occur in an inspection interval: if the number of failed components is less than , then the failed components are only rectified at periodic inspections; if the number of failures reaches , then the system fails, and at this time, all the failed components are inspected and rectified. A failed component is replaced or minimally repaired according to a probability which depends on its age at the failure time. The components' failures follow a Non-Homogenous Poisson Process (NHPP), and their intensity functions depend on their ages and the loads to which they are exposed at any moment. In this paper, we develop a model to find the optimal inspection interval for such a system, which minimizes the total expected cost incurred over the system lifecycle. We derive the analytical solution for the special case of a 1-out-of-2 system, and discuss its computational difficulties. We then present a simulation algorithm to find the required expected values in the objective function. Several numerical examples are presented to illustrate the proposed model.
机译:在本文中,我们考虑具有相同组件共享一定负载量的k分之n的负载分担系统。每次组件发生故障时,其负载都会分配给其余组件。我们假设负载增加会增加其余组件的危险率。定期检查系统以检测故障组件。在检查间隔中可能会发生两种情况:如果故障组件的数量少于,则仅在定期检查时纠正故障组件;如果故障数量达到,则系统发生故障,这时将检查并纠正所有故障组件。根据取决于故障时效的机率,对故障部件进行更换或进行最少的维修。组件的故障遵循非均质泊松过程(NHPP),其强度函数取决于其寿命和随时承受的载荷。在本文中,我们开发了一个模型来找到此类系统的最佳检查间隔,从而将整个系统生命周期内的总预期成本降至最低。我们推导了一种特殊情况下2分之一系统的解析解,并讨论了其计算困难。然后,我们提出一种仿真算法,以在目标函数中找到所需的期望值。给出了几个数值示例来说明所提出的模型。

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