CINXE.COM
{"title":"Applying Wavelet Entropy Principle in Fault Classification","authors":"S. El Safty, A. El-Zonkoly","volume":16,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":584,"pagesEnd":587,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/12586","abstract":"The ability to detect and classify the type of fault\r\nplays a great role in the protection of power system. This procedure\r\nis required to be precise with no time consumption. In this paper\r\ndetection of fault type has been implemented using wavelet analysis\r\ntogether with wavelet entropy principle. The simulation of power\r\nsystem is carried out using PSCAD\/EMTDC. Different types of\r\nfaults were studied obtaining various current waveforms. These\r\ncurrent waveforms were decomposed using wavelet analysis into\r\ndifferent approximation and details. The wavelet entropy of such\r\ndecompositions is analyzed reaching a successful methodology for\r\nfault classification. The suggested approach is tested using different\r\nfault types and proven successful identification for the type of fault.","references":"[1] M. Kezunovic and I. Rikalo, \"Detect and classify faults using neural\r\nnets,\" IEEE Comput. Appl. Power, vol. 9, pp. 42-47, Oct. 1996.\r\n[2] W. A. Wilkinson and M. D. Cox, \"Discrete wavelet analysis of power\r\nsystem transients,\" IEEE Trans. Power Syst., vol. 11, pp. 2038-2044.\r\n[3] Bin Zhang, Zhengyou He and Qingquan Qian, \"Application of wavelet\r\nentropy and adaptive nerve-fuzzy inference to fault classification\", Proc.\r\nInt. Conf. on Power System Technology, 2006.\r\n[4] Zhengyou He, Yumei Cai and Qingquan Qian, \"A study of wavelet\r\nentropy theory and its applications in power system\", Proc. of Int. Conf.\r\non Intelligent Mechatronics and Automation, China, Aug. 2004.\r\n[5] Zhimin Li, Weixing Li and Ruiye Liu, \"Applications of entropy\r\nprinciples in power system: A survey\", IEEE\/PES Transmission and\r\nDistribution conference and Exhibition, China, 2005.\r\n[6] H.Zheng-you, C.Xiaoqing and L.Guoming, \"Wavelet Entropy Definition\r\nand its Application for Transmission Line Fault Detection and\r\nIdentification (Part I: Definition and Methodology), Proc. Int. Conf. on\r\nPower System Technology, 2006.\r\n[7] H.Zheng-you, C.Xiaoqing and L.Guoming, \"Wavelet Entropy Definition\r\nand its Application for Transmission Line Fault Detection and\r\nIdentification (Part III: Transmission line faults transients identification),\r\nProc. Int. Conf. on Power System Technology, 2006.\r\n[8] MATLAB reference manual, The Mathworks Inc., 2002.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 16, 2008"}