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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Hauptverfasser: Costa, F.B., Silva, K.M., Souza, B.A., Dantas, K.M.C., Brito, N.S.D.
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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
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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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