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 language | English (US) |
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Pages (from-to) | 748-758 |
Number of pages | 11 |
Journal | Quality and Reliability Engineering International |
Volume | 34 |
Issue number | 5 |
DOIs | |
State | Published - 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