Fault diagnosis of wind power generation based on wavelet neural network

Diangong Jishu Xuebao/Transactions of China Electrotechnical Society

Volumn 24, Issue 4, 2009, Pages 224-228

  Zhuang, Zhemin ^a   Yin, Guohua ^a   Li, Fenlan ^a   Jiang, Zhongwei ^b  

^a SHANTOU UNIVERSITY   (China)

^b YAMAGUCHI UNIVERSITY   (Japan)

Author keywords

Fault diagnosis; Local discriminant basis; Neural network; Wavelet packet

Indexed keywords

BP NETWORKS; FAULT DIAGNOSIS; FAULT DIAGNOSIS AND ISOLATIONS; FAULT FEATURES; FEATURE SPACES; HIGH CLASS; INCIPIENT FAULTS; LOCAL DISCRIMINANT BASIS; NON-LINEAR CLASSIFIERS; NONLINEAR TIME-VARYING SYSTEMS; NOVEL ALGORITHMS; SELF-ORGANIZING FEATURE MAPS; WAVELET NEURAL NETWORKS; WAVELET PACKET;

BACKPROPAGATION ALGORITHMS; CONFORMAL MAPPING; ELECTRIC POWER GENERATION; NEURAL NETWORKS; STRENGTH OF MATERIALS; TIME VARYING SYSTEMS; WIND POWER;

FEATURE EXTRACTION;

EID: 65549166476     PISSN: 10006753     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. Karki R, Hu P, Billinton. A simplified wind power generation model for reliability evaluation [J]. IEEE Transactions on Energy Conversion, 2006, 21 (2): 533-540.
2. Cusido J, Jornet A, Romral L, et al. Wavelet and PSD as fault detection techniques [C]. IEEE Proceedings of the Technology Conference on Instrumentation and Measurement, 2006: 1397-1400.
3. Liu B. Selection of wavelet packet basis for rotating machinery fault diagnosis [J]. Journal of Sound and Vibration, 2005, 284: 567-582.
4. Liu Chaochun, Dai Daoqing, Yan Hong. Local discriminant wavelet packet coordinates for face recognition [J]. The Journal of Machine Learning Research, 2007 (8): 1165-1195.
5. Umapathy K, Krishnan S. Modified local discriminant bases algorithm and its application in analysis of human knee joint vibration signals [J]. IEEE Transactions on Biomedical Engineering, 2006, 53 (3): 517-523.
6. Umapathy K, Krishnan S. Audio signal feature extraction and classification using local discriminant bases [J]. IEEE Transactions on Audio, Speech, and Language Processing, 2007, 15 (4): 1236-1246.
7. Umapathy K, Krishnan S. Modified local discriminant bases and its application in signal classification [C]. IEEE Proceedings of the Conference on Acoustics, Speech, and Signal Processing, 2004, 2: 745-748.
8. Chu J U, Moon I, Mun M S. A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand [J]. IEEE Transactions on Biomedical Engineering, 2006, 53 (11): 2232-2239.
9. Berglund E, Sitte J. The parameterless self-organizing map algorithm [J]. IEEE Transactions on Neural, 2006, 17 (2): 305-316.
10. Noriega G. Self-organizing maps as a model of brain mechanisms potentially linked to autism [J]. IEEE Transactions on Rehabilitation Engineering, 2007, 15 (2): 217-226.
11. Malhi A, Gao R X. PCA-based feature selection scheme for machine defect classification [J]. IEEE Transactions on Instrumentation and Measurement, 2004, 53 (6): 1517-1525.