A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models

Tobon-Mejia, Diego; Medjaher, Kamal; Zerhouni, Noureddine; Tripot, Gérard

doi:10.1109/tr.2012.2194177

Public

A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models

Published in IEEE Transactions on Reliability • Apr 27, 2012

Authors:

Diego Tobon-Mejia

Kamal Medjaher

Noureddine Zerhouni

Abstract

This paper addresses a data-driven prognostics method for the estimation of the Remaining Useful Life (RUL) and the associated confidence value of bearings. The proposed method is based on the utilization of the Wavelet Packet Decomposition (WPD) technique, and the Mixture of Gaussians Hidden Markov...

Subject

Prognostics

Hidden Markov model

Mixture model

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