@article{(Open Science Index):https://publications.waset.org/pdf/9996905, title = {Detection of Sags, Swells, and Transients Using Windowing Technique Based On Continuous S-Transform (CST)}, author = {K. Daud and A. F. Abidin and N. Hamzah and H. S. Nagindar Singh}, country = {}, institution = {}, abstract = {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. }, journal = {International Journal of Electrical and Computer Engineering}, volume = {7}, number = {5}, year = {2013}, pages = {568 - 575}, ee = {https://publications.waset.org/pdf/9996905}, url = {https://publications.waset.org/vol/77}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 77, 2013}, }