Fast feature extraction technique for PD pulse shape based on wideband detection

作者：Yanming Li · 发表于：Advanced Technology of Electrical Engineering and Energy · 年份：2008 · 被引用次数：7 · 研究领域：High voltage insulation and dielectric phenomena、Electrostatic Discharge in Electronics、Embedded Systems and FPGA Design

According to multi-PDs phenomenon in insulation of high voltage electrical equipments,a novel PD detection and pattern recognition system developed by wide-band technology based on a single pulse shape is proposed in this paper. To develop this system,the fast grouping technique for pulse sequence should be used,which is composed of fast feature extraction technology and clustering analysis method for PD pulse shape.Focus is made on Amplitude-Parameters,Equivalent Time-Frequency and Time-Frequency Entropy methods,which are used to make feature extraction for PD pulse shape-time sequence detected by wide-band technology with a sampling rate of 100Ms/S.After feature extraction made for noised multi-PD data,the results are compared by using fuzzy clustering method.The results show that those methods do a good separation for PD pulses with the same characteristics to a certain extent,respectively.And the analysis result of noised PD date of a gas insulated switch(GIS) shows that the feature extraction methods are effective and feasible for multi-PD pulses sequence grouping in practice. This provides a good method to make feature extraction for pulse shapes to develop the multi-PDs detection and pattern recognition system.