Remaining useful life prediction for hard failures using joint model with extended hazard

Jianing Man, Qiang Zhou

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

In this paper, we investigate a joint modeling method for hard failures where both degradation signals and time-to-event data are available. The mixed-effects model is used to model degradation signals, and extended hazard model is used for the time-to-event data. The extended hazard is a general model which includes two well-known hazard rate models, the Cox proportional hazards model and accelerated failure time model, as special cases. A two-stage estimation approach is used to obtain model parameters, based on which remaining useful life for the in-service unit can be predicted. The performance of the method is demonstrated through both simulation studies and a real case study.

Original languageEnglish (US)
Pages (from-to)748-758
Number of pages11
JournalQuality and Reliability Engineering International
Volume34
Issue number5
DOIs
StatePublished - Jul 2018

Keywords

  • extended hazard
  • hard failure
  • joint model
  • remaining useful life prediction

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research

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