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The Scientific World Journal
Volume 2014, Article ID 617162, 13 pages
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.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Zhi-tao Wang, Ning-bo Zhao, Wei-ying Wang, Rui Tang, and Shu-ying Li, “A Fault Diagnosis Approach for Gas Turbine Exhaust Gas Temperature Based on Fuzzy C-Means Clustering and Support Vector Machine,” Mathematical Problems in Engineering, vol. 2015, pp. 1–11, 2015. View at Publisher · View at Google Scholar
  • Cheng-Chien Kuo, Li-Bin Huang, Hong-Chan Chang, and Yu-Ming Jheng, “On-line motor condition monitoring system for abnormality detection,” Computers and Electrical Engineering, vol. 51, pp. 255–269, 2016. View at Publisher · View at Google Scholar
  • Abit Balin, Hakan Demirel, and Fuat Alarcin, “A novel hybrid MCDM model based on fuzzy AHP and fuzzy TOPSIS for the most affected gas turbine component selection by the failures,” Journal of Marine Engineering and Technology, vol. 15, no. 2, pp. 69–78, 2016. View at Publisher · View at Google Scholar
  • Xueyou Wen, Shuying Li, and Ningbo Zhao, “A review on gas turbine anomaly detection for implementing health management,” Proceedings of the ASME Turbo Expo, vol. 1, 2016. View at Publisher · View at Google Scholar
  • Balin, Demirel, and Alarcin, “An evaluation approach for eliminating the failure effect in gas turbine using fuzzy multiple criteria,” Transactions of the Royal Institution of Naval Architects Part A: International Journal of Maritime Engineering, vol. 158, pp. 219–230, 2016. View at Publisher · View at Google Scholar