%0 Journal Article
	%A K. Daud and  A. F. Abidin and  N. Hamzah and  H. S. Nagindar Singh
	%D 2013
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 77, 2013
	%T Detection of Sags, Swells, and Transients Using Windowing Technique Based On Continuous  S-Transform (CST)
	%U https://publications.waset.org/pdf/9996905
	%V 77
	%X This paper produces a new approach for power quality analysis using a windowing technique based on Continuous S-transform (CST). This half-cycle window technique approach can detect almost correctly for initial detection of disturbances i.e. voltage sags, swells, and transients. Samples in half cycle window has been analyzed based continuous S-transform for entire disturbance waveform. The modified parameter has been produced by MATLAB programming m-file based on continuous s-transform. CST has better time frequency and localization property than traditional and also has ability to detect the disturbance under noisy condition correctly. The excellent time-frequency resolution characteristic of the CST makes it the most an attractive candidate for analysis of power system disturbances signals.

	%P 568 - 575