TY - JOUR
T1 - Stochastic modelling and analysis of degradation for highly reliable products
AU - Yea, Zhi-Sheng
AU - Xie, Min
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Data-driven methods
KW - Degradation-based burn-in
KW - General path models
KW - Stochastic process models
KW - Wiener processes
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84923355419&origin=recordpage
U2 - 10.1002/asmb.2063
DO - 10.1002/asmb.2063
M3 - RGC 21 - Publication in refereed journal
SN - 1524-1904
VL - 31
SP - 16
EP - 32
JO - Applied Stochastic Models in Business and Industry
JF - Applied Stochastic Models in Business and Industry
IS - 1
ER -