International Journal of System Signal Control and Engineering Application

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Feature Extraction of Power Quality Waveforms and Energy Coefficient Analysis Using Integer Lifting Wavelet Transform

P. Chandrasekar and A. Rajasekar
Page: 49-51 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

This study advances a novel method for power quality monitoring by using Integer Lifting Wavelet Transform (ILWT). ILWT based wavelet uses time domain for its integer calculation and could lessen calculation complexity due to its structure, compared with Modified Wavelet Transform (MWT) which depends on floating point coefficients. The whole method is tested over sample disturbances like voltage sag, voltage swell and harmonics. Energy analysis of approximation and detailed coefficients indicates that the proposed method is superior to MWT.

How to cite this article:

P. Chandrasekar and A. Rajasekar. Feature Extraction of Power Quality Waveforms and Energy Coefficient Analysis Using Integer Lifting Wavelet Transform.
DOI: https://doi.org/10.36478/ijssceapp.2014.49.51
URL: https://www.makhillpublications.co/view-article/1997-5422/ijssceapp.2014.49.51