Degradation prognosis based on a model of Gamma process mixture

Edith Grall-Maes; Pierre Beauseroy; Antoine Grall

doi:10.36001/phme.2014.v2i1.1503

Degradation prognosis based on a model of Gamma process mixture

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Published Jul 8, 2014

DOI https://doi.org/10.36001/phme.2014.v2i1.1503

Edith Grall-Maes

ICD-LM2S, Université de Technologie de Troyes, UMR 6281 CNRS,Troyes, France

Pierre Beauseroy

ICD-LM2S, Université de Technologie de Troyes, UMR 6281 CNRS,Troyes, France

Antoine Grall

ICD-LM2S, Université de Technologie de Troyes, UMR 6281 CNRS,Troyes, France

Abstract

A novel method is proposed to exploit jointly degradation measurements originating from a set of identical systems for making a degradation prognosis. The systems experience different
degradation processes depending on operational conditions. The degradation processes are assumed to be Gamma processes. The aim is to cluster the degradation paths in classes corresponding to the different operational conditions in order to group properly the data for the estimation of degradation process parameters. A model of Gamma process mixture is considered and an expectation-minimization approach is proposed to estimate the unknown parameters. The feasibility of the method is shown on simulated cases. Prognosis results obtained with the proposed method are compared with results obtained with basic strategies (considering each system alone or all system together).

How to Cite

Grall-Maes, E., Beauseroy, P., & Grall, A. (2014). Degradation prognosis based on a model of Gamma process mixture. PHM Society European Conference, 2(1). https://doi.org/10.36001/phme.2014.v2i1.1503

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References

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