Predicting remaining useful life of an individual unit using proportional hazards model and logistic regression model

@article{Liao2006PredictingRU,
  title={Predicting remaining useful life of an individual unit using proportional hazards model and logistic regression model},
  author={Haitao Liao and Wenbiao Zhao and Huairui Guo},
  journal={RAMS '06. Annual Reliability and Maintainability Symposium, 2006.},
  year={2006},
  pages={127-132}
}
Reliability of an individual unit during field use is important in many critical applications such as turbine engines, life-maintaining systems and civil engineering structures. The remaining useful life (RUL) of the unit indicates its ability of surviving the operation in the future. When the failure indication (degradation) has been detected, it is essential to estimate the RUL accurately for making a timely maintenance decision for failure avoidance. In recent years, RUL prediction in… CONTINUE READING
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