Discrete wavelet transform and back-propagation neural networks algorithm for fault location on single-circuit transmission line

Authors:
Atthapol Ngaopitakkul;Chaichan Pothisarn
Affiliations:
Department of Electrical Engineering, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrdbang, Bangkok 10520, THAILAND;Department of Electrical Engineering, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrdbang, Bangkok 10520, THAILAND
Venue:
ROBIO '09 Proceedings of the 2008 IEEE International Conference on Robotics and Biomimetics
Year:
2009

Citing 0
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Fault diagnosis of transmission system based on Wavelet Transform and Neural network

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Abstract

This paper proposes a technique using discrete wavelet transform (DWT) and back-propagation neural network (BPNN) for locating of fault location on single circuit transmission lines. The ATP/EMTP was used to simulated fault signals. The mother wavelet daubechies4 (db4) is employed to decompose, high frequency component from these signals. The first peak time in first scale of each bus that can detect fault are used as input pattern for the training pattern. It is shown that the proposed technique gives satisfactory.