Title :
A Method for Fault Classification in Transmission Lines Based on ANN and Wavelet Coefficients Energy
Author :
Costa, F.B. ; Silva, K.M. ; Souza, B.A. ; Dantas, K.M.C. ; Brito, N.S.D.
Author_Institution :
Fed. Univ. of Campina Grande, Campina Grande
Abstract :
This paper proposes a novel method for transmission lines fault classification using oscillographic data. The scheme is based on the analysis of the current wavelet coefficients energy using an artificial neural network. In order to validate the proposed approach, both simulated and actual oscillographic data were used.
Keywords :
fault diagnosis; neural nets; power engineering computing; power transmission faults; power transmission lines; wavelet transforms; ANN; artificial neural network; fault classification; oscillographic data; transmission line; wavelet coefficient energy analysis; Artificial neural networks; Discrete wavelet transforms; Filter bank; Power system interconnection; Power transmission lines; Substations; Transmission line theory; Transmission lines; Wavelet coefficients; Wide area networks;
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
DOI :
10.1109/IJCNN.2006.247385
