A Distribution-Based Systems Reliability Model Under Extreme Shocks and Natural Degradation
A Distribution-Based Systems Reliability Model Under Extreme Shocks and Natural Degradation
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DOI：
10.1109/tr.2010.2103710
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发表时间：
2011-01
影响因子：
5.9
通讯作者：
Z. Ye;L. Tang;Haiyan Xu
中科院分区：
文献类型：
--
作者：
Z. Ye;L. Tang;Haiyan Xu
降解和冲击是导致产品失效的两种常见机制。本文提出了一种简便的方法，当退化的程度和冲击的大小是不可观察的，而只记录了失效时间和相应的失效模式时，在单个模型中捕获冲击和退化。我们把面向退化的失效寿命看作是某种初始随机资源，它属于某种分布族。冲击根据非齐次泊松过程到达，破坏概率取决于系统剩余资源的转化。在此前提下，提出了单故障时间模型和重复事件模型。这项研究补充了著名的Brown-Proschan模型。单故障时间模型已成功地应用于实时数据集。我们还进行了模拟研究，以检验我们模型的准确性。
Degradation, and shock are two common mechanisms accounting for product failures. This paper presents a convenient means of capturing both shock and degradation in a single model when the extent of degradation and the magnitude of shocks are not observable, but only the failure times and the corresponding failure modes are recorded. We assume that the lifetime of a degradation-oriented failure, which is regarded as some initial random resource, belongs to some distribution family. Shocks arrive according to a non-homogeneous Poisson process, and the destructive probability depends on the transformed remaining resource of the system. Under these assumptions, we propose the single failure time model, and the recurrent event model. This study complements the well-known Brown-Proschan model. The single failure time model has successfully been applied to a real time data set. We also conduct a simulation study to examine the accuracy of our model.