Detection and classification of winding faults in windmill generators using wavelet transform and ANN

Proceedings of IEEE International Electric Machines and Drives Conference, IEMDC 2007

Volumn 1, Issue , 2007, Pages 178-183

  Gketsis, Zacharias E ^b   Zervakis, Michalis E ^a,b   Stavrakakis, George ^b  

^a IEEE

^b TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

Backpropagation neural network; Daubechies wavelets; Winding fault detection and classification

Indexed keywords

BACKPROPAGATION; DEMODULATION; ELECTRIC POTENTIAL; NEURAL NETWORKS; WAVELET TRANSFORMS;

BACKPROPAGATION NEURAL NETWORK; DAUBECHIES WAVELETS; HIGH FREQUENCY MEASUREMENTS; WINDING FAULT DETECTION AND CLASSIFICATION; WINDMILL GENERATORS;

WINDING MACHINES;

EID: 35048872689     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMDC.2007.383573     Document Type: Conference Paper

References (7)

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6. Gketsis Z., Stavrakakis G., Zervakis M., "Detection of winding faults in windmill generators using the wavelet transform analysis method," XVII International Conf. on Electrical Machines, ICEM2006, 2-5 September 2006, Chania, Crete, Greece, pp. 492-497.
7. Gketsis Z., Zervakis M., Stavrakakis G., "Early detection of winding faults in windmill generators using wavelet transform and ANN classification," International Conf. on ANN, ICAN2006, part II, LNCS 4132, pp. 746-756.