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Remaining useful life estimation based on stochastic deterioration models: A comparative study

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  • Le Son, Khanh
  • Fouladirad, Mitra
  • Barros, Anne
  • Levrat, Eric
  • Iung, Benoît

Abstract

Prognostic of system lifetime is a basic requirement for condition-based maintenance in many application domains where safety, reliability, and availability are considered of first importance. This paper presents a probabilistic method for prognostic applied to the 2008 PHM Conference Challenge data. A stochastic process (Wiener process) combined with a data analysis method (Principal Component Analysis) is proposed to model the deterioration of the components and to estimate the RUL on a case study. The advantages of our probabilistic approach are pointed out and a comparison with existing results on the same data is made.

Suggested Citation

  • Le Son, Khanh & Fouladirad, Mitra & Barros, Anne & Levrat, Eric & Iung, Benoît, 2013. "Remaining useful life estimation based on stochastic deterioration models: A comparative study," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 165-175.
    • Handle: RePEc:eee:reensy:v:112:y:2013:i:c:p:165-175
    DOI: 10.1016/j.ress.2012.11.022
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    References listed on IDEAS

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