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International Journal of Photoenergy
Volume 2014, Article ID 759819, 9 pages
Research Article

Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems

Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan

Received 7 December 2013; Accepted 3 January 2014; Published 18 February 2014

Academic Editor: Hongxing Yang

Copyright © 2014 Chin-Tsung Hsieh 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 [3 citations]

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

  • Kuo-Nan Yu, Her-Terng Yau, and Jian-Yu Li, “Chaotic Extension Neural Network-Based Fault Diagnosis Method for Solar Photovoltaic Systems,” Mathematical Problems in Engineering, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • Her-Terng Yau, and Meng Hui Wang, “Chaotic eye-based fault forecasting method for wind power systems,” Iet Renewable Power Generation, vol. 9, no. 6, pp. 593–599, 2015. View at Publisher · View at Google Scholar
  • Her-Terng Yau, Ying-Che Kuo, Chieh-Li Chen, and Yu-Chung Li, “Ball bearing test-rig research and fault diagnosis investigation,” IET Science, Measurement and Technology, vol. 10, no. 4, pp. 259–265, 2016. View at Publisher · View at Google Scholar