Open AccessAnalysis of power system faults in EHVAC line for varying fault time instances using wavelet transforms
Author(s) -
A Swetha,
P. Krishna Murthy
Publication year - 2017
Publication title -
journal of electrical systems and information technology
Language(s) - English
Resource type - Journals
ISSN - 2314-7172
DOI - 10.1016/j.jesit.2016.09.002
Subject(s) - fault (geology) , wavelet , wavelet transform , electric power system , computer science , line (geometry) , power (physics) , real time computing , pattern recognition (psychology) , artificial intelligence , mathematics , seismology , geology , physics , quantum mechanics , geometry
This paper evaluates how the occurrence time of fault affects the energy entropy present in a fault signal. The diagnostic method that is proposed is based on calculating the wavelet entropy of sampled signal at different fault occurrence times. The energy of detailed coefficients of db wavelet are extracted at level 1 & level 5 for L–G fault and analysis is done for varying fault times. The analysis can further be extended to other types of faults