Estimation of reliability with semi-parametric modeling of degradation

被引:2
|
作者
Bhuyan, Prajamitra [1 ]
Sengupta, Debasis [1 ]
机构
[1] Indian Stat Inst, Appl Stat Unit, Kolkata 700108, India
关键词
Accelerated failure time; Crack propagation; Kernel function; Monotonic spline; Random effects; SEMOR; Shape invariant model; CONSISTENCY;
D O I
10.1016/j.csda.2017.06.008
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In many real life scenarios, stress accumulates over time and the system fails as soon as the accumulated stress or degradation equals or exceeds a critical threshold. For some devices, it is possible to obtain measurements of degradation over time, and these measurements may contain useful information about product reliability. In this paper, we propose a semi parametric random effect (frailty) model for degradation path, and a method of estimating this path as well as the reliability. Consistency of the estimator under general conditions is established. Simulation results show superiority of the performance of the proposed method over a parametric competitor. The method is illustrated through the analysis of a real data set. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:172 / 185
页数:14
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