JOURNAL ARTICLE

Transmission Line Fault Detection Using Wavelet & Artificial Neural Network

Abstract

The transmission line has different techniques related to the protection of the relay as the development is carried out by the different researchers in this field. The artificial neural network system was adopted for the case of the first order single phase system in the case of the transmission line. The transmission line if present in the parallel system, then the back propagation case of the neural network in the case of the schemes of the relay was adopted. The combined method related to the back propagation as well as the neural network system in the case of the diagnosis of the presence of the faults in the case of single circuit line can be possible. The present work is related to the detection process of the faults for the case of transmission line with the help of the wavelet as well as the process of the artificial neural network.

Keywords:
Artificial neural network Transmission line Computer science Fault (geology) Relay Electric power transmission Transmission (telecommunications) Wavelet Backpropagation Time delay neural network Process (computing) Wavelet transform Line (geometry) Artificial intelligence Transmission system Engineering Telecommunications Electrical engineering Mathematics

Metrics

3
Cited By
0.45
FWCI (Field Weighted Citation Impact)
11
Refs
0.56
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Power Systems Fault Detection
Physical Sciences →  Engineering →  Control and Systems Engineering
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