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Repairable models with operating and repair times governed by phase type distributions

机译:可修复模型,其运行和修复时间受相类型分布控制

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We consider a device that is subject to three types of failures: repairable, non-repairable and failures due to wear-out. This last type is also non-repairable. The times when the system is operative or being repaired follow phase type distributions. When a repairable failure occurs, the operating time of the device decreases, in that the lifetimes between failures are stochastically decreasing according to a geometric process. Following a non-repairable failure or after a previously fixed number of repairs occurs, the device is replaced by a new one. Under these conditions, the functioning of the device can be modelled by a Markov process. We consider two different models depending on whether or not the phase of the operational system at the instants of failure is remembered or not. For both models we derive-the stationary distribution of the Markov process, the availability of the device, the rate of occurrence of the different types of failures, and certain quantities of interest. [References: 10]
机译:我们认为设备会遭受三种类型的故障:可修复,不可修复以及由于磨损而导致的故障。最后一种类型也是不可修复的。系统运行或维修的时间遵循阶段类型分布。当发生可修复的故障时,设备的工作时间会减少,因为故障之间的寿命会根据几何过程随机减少。在发生不可修复的故障之后或在进行了先前固定的维修次数后,该设备将被更换为新设备。在这些条件下,可以通过马尔可夫过程对设备的功能进行建模。我们考虑两种不同的模型,具体取决于是否记住故障时刻的操作系统状态。对于这两个模型,我们得出了马尔可夫过程的平稳分布,设备的可用性,不同类型的故障的发生率以及感兴趣的数量。 [参考:10]

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