Parametric inference for multiple repairable systems under dependent competing risks
Parametric inference for multiple repairable systems under dependent competing risks
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DOI：
10.1002/asmb.2079
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发表时间：
2015-09
影响因子：
1.4
通讯作者：
Anupap Somboonsavatdee;Ananda Sen
中科院分区：
文献类型：
--
作者：
Anupap Somboonsavatdee;Ananda Sen
这篇文章的重点是对可修复系统的分析，受到多个复发源。假设系统级的关注事件是由最早发生的源引起的，从而符合串联系统竞争风险框架。参数推断下进行幂律过程模型，已发现在工业应用中的显着关注。原因特定的循环过程之间的依赖性是通过一个共享的脆弱性结构诱导的。理论推理结果被实现到一个车队的保修数据库，其中保修维修是由许多组件之一的故障触发的。进行了广泛的有限样本模拟，以补充渐近结果。版权所有© 2014约翰威利父子有限公司.
The focus of this article is on the analysis of repairable systems that are subject to multiple sources of recurrence. The event of interest at the system level is assumed to be caused by the earliest occurrence of a source, thereby conforming to a series system competing risks framework. Parametric inference is carried out under the power law process model that has found significant attention in industrial applications. Dependence among the cause-specific recurrent processes is induced via a shared frailty structure. The theoretical inference results are implemented to a warranty database for a fleet of automobiles, for which the warranty repair is triggered by the failure of one of many components. Extensive finite-sample simulation is carried out to supplement the asymptotic findings. Copyright © 2014 John Wiley & Sons, Ltd.