Abstract

Reliability evaluation based on degradation data has received significant attentions in recent years. However, existing works often assume that the degradation evolution over time is governed by a single stochastic process, which may not be realistic if change points exist. Here, for cases of degradation with change points, this paper attempts to capture the degradation process with a multi-phase degradation model and find the method to evaluate the real-time reliability of the product being monitored. Once new degradation information becomes available, the evaluation results are adaptively updated through the Bayesian method. In particular, for a two-stage degradation process of liquid coupling devices (LCDs), a model named as change-point gamma and Wiener process is developed, after which issues of real-time reliability evaluation and parameters’ estimation are addressed in detail. Finally, the proposed method is illustrated by a case study of LCDs, and the corresponding results indicate that trustful evaluation results depend on the fitting accuracy in cases of multi-phase degradation process. Copyright © 2013 John Wiley & Sons, Ltd.

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