A Bayesian approach to modeling two-phase degradation using change-point regression

Title
A Bayesian approach to modeling two-phase degradation using change-point regression
Author
배석주
Keywords
Degradation modeling; Change-point regression; Failure-time distribution; Gibbs sampling; Hierarchical Bayesian modeling
Issue Date
2015-02
Publisher
ELSEVIER SCI LTD
Citation
RELIABILITY ENGINEERING & SYSTEM SAFETY, v. 134, Page. 66-74
Abstract
Influenced by defects or contaminants remaining after a series of manufacturing processes, the degradation paths of some products exhibit two-phase patterns over the testing period. This paper proposes a hierarchical Bayesian change-point regression model to fit the two-phase degradation patterns, and derives the failure-time distribution of a unit that is randomly selected from its population. A Gibbs sampling algorithm is developed for the inference of the parameters in the change-point degradation model, as well as for the prediction of the failure-time distribution of the randomly selected unit. The proposed approach is applied to the degradation paths of plasma display panels (PDPs) presenting the two-phase pattern.
URI
http://www.sciencedirect.com/science/article/pii/S095183201400249Xhttp://hdl.handle.net/20.500.11754/22426
ISSN
0951-8320; 1879-0836
DOI
10.1016/j.ress.2014.10.009
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INDUSTRIAL ENGINEERING(산업공학과) > Articles
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