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《Advanced Technology of Electrical Engineering and Energy》 2001-02
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Partial discharge recognition based on time domain features of pulse waveform

ZHENG Zhong, TAN Ke\|xiong, WANG Meng, WU Hao (Dept. of Electrical Engineering, Tsinghua University, Beijing 100084, China)  
A real\|time high\|speed digital system is developed for partial discharge pulse wave form measurement.Pulse current of different types of partial discharge are gathered from simplified laboratory models and industry simulation models,which include discharges of point\|plate electrodes in air or insulation oil,cavity discharge within insulation of generator stator windings,and discharge along surfqce of generator endwindings.The features of pulse waveform are extracted using segmented time domain data compression method.A 2\|stages artificial neural network is trained to recognize different discharge patterns and the recognition rates are satisfying.
【Fund】: 国家自然科学基金会资助;; 东北电力集团公司资助项目 !(批准号 :596 372 0 0 )
【CateGory Index】: TM83
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