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Applied Stochastic Models in Business and Industry· 2014Q2· Review

Stochastic modelling and analysis of degradation for highly reliable products

Zhi‐Sheng Ye, Min Xie

Short summary

This paper reviews and classifies state-of-the-art degradation models for complex systems, categorizing them into stochastic process, general path, and other models.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Degradation models are crucial for analyzing complex systems.
  • Models are classified into stochastic process, general path, and other types.
  • Stochastic process models are highlighted with a comparison to general path models.
  • Applications include degradation test planning and burn-in modeling.

AI-generated from the title and abstract; the full text is not read.

Abstract

Degradation models have become an important analytic tool for complex systems. During the last two decades, a number of degradation models have been developed to capture the degradation dynamics of a system and aid the subsequent decision‐makings. This paper is aimed at providing a summary of the state of the arts in the field, and discussing some further research issues from both analytical and practical point of view. In this paper, degradation models are classified into three classes, that is, stochastic process models, general path models, and other models beyond these two classes. A review on the three classes is given with emphasis on the class of stochastic process models. A comprehensive comparison between stochastic process models and general path models is given to expound the pros and cons of these two methods. Applications of degradation models in degradation test planning and burn‐in modelling will also be discussed. Copyright © 2014 John Wiley & Sons, Ltd.

The authors' abstract, as published at the source. Applied Stochastic Models in Business and Industry, 2014 · DOI ↗

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Field: Safety, Risk, Reliability and Quality

Safety, Risk, Reliability and QualityEngineering