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Classification of power quality disturbances using wavelet and artificial neural network

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6 Author(s)
A. Rodríguez ; Department of Electrical Engineering, University of Málaga, Spain ; J. Aguado ; F. Martín ; J. Muñoz
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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