Detection of Emerging Faults on Industrial Gas Turbines Using Extended Gaussian Mixture Models

Detection of Emerging Faults on Industrial Gas Turbines Using Extended Gaussian Mixture Models

This paper extends traditional Gaussian mixture model (GMM) techniques to provide recognition of operational states and detection of emerging faults for industrial systems. A variational Bayesian method allows a GMM to cluster with its mixture components to facilitate the extraction of steady-state...

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Bibliographic Details
Main Authors:	Yu Zhang, Chris Bingham, Miguel Martínez-García, Darren Cox
Format:	Article
Language:	English
Published:	Hindawi Limited 2017-01-01
Series:	International Journal of Rotating Machinery
Online Access:	http://dx.doi.org/10.1155/2017/5435794

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