%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