A Method for Fault Classification in Transmission Lines Based on ANN and Wavelet Coefficients Energy
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 oscillogr...
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creator | Costa, F.B. Silva, K.M. Souza, B.A. Dantas, K.M.C. Brito, N.S.D. |
description | 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. |
doi_str_mv | 10.1109/IJCNN.2006.247385 |
format | Conference Proceeding |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | 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 |
title | A Method for Fault Classification in Transmission Lines Based on ANN and Wavelet Coefficients Energy |
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