WASET
	@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},
	}