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

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

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Article ID: iaor20131329
Volume: 112
Issue: 2
Start Page Number: 165
End Page Number: 175
Publication Date: Apr 2013
Journal: Reliability Engineering and System Safety
Authors: , , , ,
Keywords: stochastic processes
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.

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