Accelerated burn-in and condition-based maintenance for n -subpopulations subject to stochastic degradation

Yisha Xiang, David W. Coit, Qianmei May Feng

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

For some engineering design and manufacturing applications, particularly for evolving and new technologies, populations of manufactured components can be heterogeneous and consist of several subpopulations. The co-existence of n subpopulations can be common in devices when the manufacturing process is still maturing or highly variable. A new model is developed and demonstrated to determine accelerated burn-in and condition-based maintenance policies for populations composed of distinct subpopulations subject to stochastic degradation. Accelerated burn-in procedures with multiple accelerating factors are considered for the degradation-based heterogeneous populations. Condition-based maintenance is implemented during field operation after burn-in procedures. The proposed joint accelerated burn-in and condition-based maintenance policy are compared with two benchmark policies: a joint accelerated burn-in and age-based preventive replacement policy and a condition-based maintenance-only policy. Numerical examples are provided to illustrate the proposed procedure. Sensitivity analysis is performed to investigate the value of joint accelerated burn-in and condition-based maintenance policy and to indicate which type of policy should be applied according to different conditions and device characteristics. © 2014

Original languageEnglish
Pages (from-to)1093-1106
Number of pages14
JournalIIE Transactions (Institute of Industrial Engineers)
Volume46
Issue number10
DOIs
StatePublished - Oct 3 2014

Keywords

  • accelerated burn-in
  • condition-based maintenance
  • mixture degradation model
  • n-Subpopulations
  • stochastic degradation

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