DocumentCode :
3780289
Title :
Transmission line fault classification using discrete wavelet transform
Author :
Mousam Choudhury;Amrita Ganguly
Author_Institution :
Department of Electrical Engineering, Assam Engineering College, Gauhati University, Guwahati, India
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
5
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 :
"Noise measurement","Iron"
Publisher :
ieee
Conference_Titel :
Energy, Power and Environment: Towards Sustainable Growth (ICEPE), 2015 International Conference on
Type :
conf
DOI :
10.1109/EPETSG.2015.7510112
Filename :
7510112
Link To Document :
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