JOURNAL ARTICLE

Transmission line fault classification using discrete wavelet transform

Abstract

This paper presents wavelet transform based analysis to determine transmission line faults classification. The fault classification technique is developed on the basis of extensive simulation studies carried out on the power system model within the MATLAB Simiilink program for different operating conditions. Discrete wavelet transform has been applied on the fault current and the mean of approximate coefficients of the phase signals is calculated. Daubechies4 wavelet transform has been applied to decompose the phase signals into Scale 1 wavelet coefficient. The detection is carried out by analyzing the mean of approximate coefficients of the phase signals and the fault classification criteria are presented.

Keywords:
Discrete wavelet transform Wavelet transform Second-generation wavelet transform Wavelet Stationary wavelet transform Wavelet packet decomposition Fault (geology) Lifting scheme Transmission line Computer science Harmonic wavelet transform Pattern recognition (psychology) Cascade algorithm Algorithm Electric power transmission Mathematics Artificial intelligence Engineering Telecommunications

Metrics

18
Cited By
1.58
FWCI (Field Weighted Citation Impact)
20
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Power Systems Fault Detection
Physical Sciences →  Engineering →  Control and Systems Engineering
Electrical Fault Detection and Protection
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Islanding Detection in Power Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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