%0 Journal Article
	%A Mohamed E. Salem Abozaed
	%D 2013
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 78, 2013
	%T Detection and Classification of Power Quality Disturbances Using S-Transform and Wavelet Algorithm
	%U https://publications.waset.org/pdf/14779
	%V 78
	%X Detection and classification of power quality (PQ)
disturbances is an important consideration to electrical utilities and
many industrial customers so that diagnosis and mitigation of such
disturbance can be implemented quickly. S-transform algorithm and
continuous wavelet transforms (CWT) are time-frequency
algorithms, and both of them are powerful in detection and
classification of PQ disturbances. This paper presents detection and
classification of PQ disturbances using S-transform and CWT
algorithms. The results of detection and classification, provides that
S-transform is more accurate in detection and classification for most
PQ disturbance than CWT algorithm, where as CWT algorithm more
powerful in detection in some disturbances like notching
	%P 772 - 777