TY  - JOUR
T1  - Feature Extraction of Power Quality Waveforms and Energy Coefficient Analysis Using Integer Lifting Wavelet Transform
AU - Chandrasekar, P. AU - Rajasekar, A. 
JO  - International Journal of System Signal Control and Engineering Application
VL  - 7
IS  - 3
SP  - 49
EP  - 51
PY  - 2014
DA  - 2001/08/19
SN  - 1997-5422
DO  - ijssceapp.2014.49.51
UR  - https://makhillpublications.co/view-article.php?doi=ijssceapp.2014.49.51
KW  - Power quality
KW  -power system disturbances
KW  -integer lifting wavelet transform
KW  -lifted wavelet energy
KW  -lifting wavelet transform
AB  - 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.
ER  -