Novel method of extracting the feature of Partial Discharge signal from strong carrier disturbance

作     者：Cui, Xuemei Zhang, Bide 

作者机构：Dept. of Automatic Control Engineering Chengdu University of Information Technology Chengdu 610225 China Xihua University Chengdu 610039 China 

出 版 物：《Journal of Information and Computational Science》 (J. Inf. Comput. Sci.)

年 卷 期：2007年第4卷第1期

页      面：15-20页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 080802[工学-电力系统及其自动化] 0809[工学-电子科学与技术（可授工学、理学学位）] 081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0702[理学-物理学] 

主　　题：Partial discharges 

摘      要：Our research purpose is to analyze the phase information of Partial Discharge PD signal and its disturbance, and to extract the feature of PD signal by using complex wavelet. The thesis, based on existing research, tries to explain our research to design complex compactly supported biorthogonal wavelets by real compactly supported biorthogonal wavelets, and then explore the features of the extraction of PD signal based on complex wavelets obtaining the general particular feature information from original signal, and finally propose ten novel complex information by combining the results of complex wavelet transform to analyze PD signal. The research demonstrates that complex wavelets are more superior to original real wavelets in identifying Partial Discharge signal, and that simulated applications and the data from laboratory can guarantee the effectiveness of the extraction of the feature of Partial Discharge and the restraint of the strong carrier disturbance.