@article{(Open Science Index):https://publications.waset.org/pdf/2588,
	  title     = {High Impedance Faults Detection Technique Based on Wavelet Transform },
	  author    = {Ming-Ta Yang and  Jin-Lung Guan and  Jhy-Cherng Gu},
	  country	= {},
	  institution	= {},
	  abstract     = {The purpose of this paper is to solve the problem of protecting aerial lines from high impedance faults (HIFs) in distribution systems. This investigation successfully applies 3I0 zero sequence current to solve HIF problems. The feature extraction system based on discrete wavelet transform (DWT) and the feature identification technique found on statistical confidence are then applied to discriminate effectively between the HIFs and the switch operations. Based on continuous wavelet transform (CWT) pattern recognition of HIFs is proposed, also. Staged fault testing results demonstrate that the proposed wavelet based algorithm is feasible performance well. },
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {1},
	  number    = {4},
	  year      = {2007},
	  pages     = {689 - 693},
	  ee        = {https://publications.waset.org/pdf/2588},
	  url   	= {https://publications.waset.org/vol/4},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 4, 2007},
	}