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《Journal of Electric Power Science and Technology》 2009-01
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Real-time detection of short duration voltage variation based on model maximum and singularity of wavelet transform

LIU Cheng-yuan1,SU Yuan-kai2,LIU Gui-ying2(1.Huizhou Xinkechuang Project Managemient Company LTD.,Huizhou 516001,China;2.College of Electrics and Information engineering,Changsha University of Science and Technology,Changsha 410004,China)  
The detection method of short duration voltage variations with wavelet transform is introduced,the corresponding relations between wavelet transform model maximum and original signals singularity and the wavelet transform based noise elimination principium with fixed threshold are analyzed in this paper.The real-time detecting process of short duration voltage variations is proposed,and simulations are carried out.Results show that the proposed method can eliminate noise influence,and detect the times of short duration voltage variations accurately and efficiently.
【Fund】: 国家自然科学基金(50677058);; 湖南省教育厅科研项目(08C089)
【CateGory Index】: TM712
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