Degradation under dynamic operating conditions: Modeling, competing processes and applications
Degradation under dynamic operating conditions: Modeling, competing processes and applications
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DOI：
10.1080/00224065.2020.1757390
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发表时间：
2020-05
影响因子：
2.5
通讯作者：
M. Hajiha;Xiao Liu;Yili Hong
中科院分区：
文献类型：
--
作者：
M. Hajiha;Xiao Liu;Yili Hong
摘要 本文研究了动态条件下的退化模型及其应用。单变量和多个竞争退化过程都被考虑，单个退化路径由维纳过程描述。参数和非参数方法用于捕获环境条件对过程参数的影响。对于竞争退化过程，我们获得特定过程在未来时间间隔内先于其他过程达到预定义阈值的概率。特别是，我们考虑了由于未观察到的未来环境因素而导致的多个降解过程的潜在剩余寿命之间的潜在统计依赖性。介绍了两个案例研究：飞机活塞泵磨损和美国高速公路性能恶化。还进行了全面的比较研究，以对所提出的方法产生一些重要的见解。数据已在 GitHub 上提供。
Abstract This paper investigates degradation modeling under dynamic conditions and its applications. Both univariate and multiple competing degradation processes are considered with individual degradation paths being described by Wiener processes. Parametric and non-parametric approaches are used to capture the effect of environmental conditions on process parameters. For competing degradation processes, we obtain the probability that a particular process reaches a pre-defined threshold, before other processes, over future time intervals. In particular, we consider the potential statistical dependence among the latent remaining lifetimes of multiple degradation processes due to unobserved future environmental factors. Two case studies, aircraft piston pump wear and US highway performance deterioration, are presented. Comprehensive comparison studies are also performed to generate some critical insights on the proposed approach. Data have been made available on GitHub.