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Classification of power quality disturbances using wavelet and artificial neural network

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6 Author(s)
Rodriguez, A. ; Dept. of Electr. Eng., Univ. of Malaga, Malaga, Spain ; Aguado, J. ; Martin, F. ; Munoz, J.
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This paper presents a method of classification of power quality disturbances using Wavelet transforms combined with artificial neural network. Multi-resolution Wavelet analysis has been used as feature extractor, with different mothers Wavelet. Result comparison has been made in two levels: first, using different wavelet mothers, to determinate if the classification performance is better with a specific wavelet transform. The second level has been done using two differents Artificial Neural Network (ANN): backpropagation (BP) y Probabilistic Neural Network (PNN).

Published in:

Power System Technology (POWERCON), 2010 International Conference on

Date of Conference:

24-28 Oct. 2010