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

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

Reliability Engineering and System Safety, 2013, vol. 112, issue C, 165-175

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.

Keywords: Deterioration modelling; Principal component analysis; Stochastic process; Wiener process with drift; Prognostic; Remaining useful life time estimation (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (39)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:112:y:2013:i:c:p:165-175

DOI: 10.1016/j.ress.2012.11.022

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