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Modeling zoned shock effects on stochastic degradation in dependent failure processes

机译:在相关的故障过程中对随机冲击的分区冲击建模

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This article studies a system that experiences two dependent competing failure processes, in which shocks are categorized into different shock zones. These two failure processes, a stochastic degradation process and a random shock process, are dependent because arriving shocks can cause instantaneous damage on the degradation process. In existing studies, every shock causes an abrupt damage on degradation. However, this may not be the case when shock loads are small and within the tolerance of system resistance. In the proposed model, only shock loads that are larger than a certain level are considered to cause abrupt damage on degradation, which makes this new model realistic and challenging. Shocks are divided into three zones based on their magnitudes: safety zone, damage zone, and fatal zone. The abrupt damage is modeled using an explicit function of shock load exceedances (differences between load magnitudes and a given threshold). Due to the complexity in modeling these two dependent stochastic failure processes, no closed form of the reliability function can be derived. Monte Carlo importance sampling is used to estimate the system reliability. Finally, two application examples with sensitivity analyses are presented to demonstrate the models.
机译:本文研究的系统会经历两个相互依赖的竞争性故障过程,其中将冲击分为不同的冲击区域。这两个故障过程(随机降解过程和随机冲击过程)是相互依赖的,因为到达的冲击会立即对降解过程造成破坏。在现有研究中,每一次电击都会对降解造成突然的破坏。但是,当冲击载荷较小且在系统电阻的公差范围内时,情况可能并非如此。在提出的模型中,只有大于一定水平的冲击载荷才被认为会对降解造成突然的破坏,这使得这种新模型变得现实而具有挑战性。震动根据其大小分为三个区域:安全区域,损坏区域和致命区域。突然损坏是使用冲击载荷超过(载荷大小与给定阈值之间的差异)的显式函数建模的。由于对这两个相关的随机故障过程进行建模的复杂性,无法得出封闭形式的可靠性函数。蒙特卡洛重要性抽样用于估计系统可靠性。最后,给出了两个带有灵敏度分析的应用实例来演示模型。

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