Title :
Research on extraction of partial discharge feature signal based on complex wavelet for power transformer
Author :
Guihong, Feng ; Haining, Zhang ; Fuyu, Zhuang ; Bingyi, Zhang
Author_Institution :
Shenyang Univ. of Technol., Shenyang
Abstract :
The paper presents an approach to realize the complex wavelet method which used in extracting PD (partial discharge) signal features of power transformer. Real wavelet transformation (RWT) is used to analyze and process the signals from the weak insulation in the transformer. But RWT just only extract the eigenvalue of PD signal from real part. Complex wavelet transformation (CWT) can extract the eigenvalue from both real part and imaginary part. In this way, the eigenvalue of the PD signal will contain the information from two spaces, and enhance the accuracy of analysis.
Keywords :
feature extraction; partial discharges; power transformers; wavelet transforms; Real wavelet transformation; complex wavelet; complex wavelet transformation; partial discharge feature signal; power transformer; Continuous wavelet transforms; Data mining; Eigenvalues and eigenfunctions; Information analysis; Partial discharges; Power transformer insulation; Power transformers; Signal analysis; Signal processing; Wavelet analysis;
Conference_Titel :
Electrical Machines and Systems, 2007. ICEMS. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-86510-07-2
Electronic_ISBN :
978-89-86510-07-2
