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International Journal of Rotating Machinery
Volume 2017, Article ID 5435794, 9 pages
https://doi.org/10.1155/2017/5435794
Research Article

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

1School of Engineering, University of Lincoln, Lincoln LN6 7TS, UK
2Siemens Industrial Turbomachinery Ltd., Lincoln LN5 7FD, UK

Correspondence should be addressed to Yu Zhang; ku.ca.nlocnil@gnahzy

Received 9 December 2016; Revised 24 March 2017; Accepted 23 April 2017; Published 21 May 2017

Academic Editor: P. Stephan Heyns

Copyright © 2017 Yu Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Yu Zhang, Chris Bingham, Miguel Martínez-García, and Darren Cox, “Detection of Emerging Faults on Industrial Gas Turbines Using Extended Gaussian Mixture Models,” International Journal of Rotating Machinery, vol. 2017, Article ID 5435794, 9 pages, 2017. https://doi.org/10.1155/2017/5435794.