Title :
Classification of power quality disturbances using wavelet and artificial neural network
Author :
Rodríguez, A. ; Aguado, J. ; Martín, F. ; Muñoz, J. ; Medina, M. ; Ciumbulea, G.
Author_Institution :
Dept. of Electr. Eng., Univ. of Malaga, Malaga, Spain
Abstract :
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).
Keywords :
backpropagation; feature extraction; neural nets; power supply quality; signal resolution; wavelet transforms; ANN; BP neural network; PNN; artificial neural network; backpropagation; feature extraction; multiresolution wavelet analysis; power quality disturbance classification; probabilistic neural network; wavelet transform; Hafnium; Artificial neural networks; Power Quality; Wavelet transform; disturbances classification;
Conference_Titel :
Power System Technology (POWERCON), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-5938-4
DOI :
10.1109/POWERCON.2010.5666537
