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The Scientific World Journal
Volume 2014, Article ID 617162, 13 pages
http://dx.doi.org/10.1155/2014/617162
Research Article

Fault Detection and Diagnosis for Gas Turbines Based on a Kernelized Information Entropy Model

1College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China
2Harbin Marine Boiler & Turbine Research Institute, Harbin 150036, China
3Harbin Institute of Technology, Harbin 150001, China

Received 28 April 2014; Accepted 19 June 2014; Published 28 August 2014

Academic Editor: Xibei Yang

Copyright © 2014 Weiying Wang 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.

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