Title :
Study of partial discharge feature based on complex wavelet for large power transformer
Author :
Ruiguo, Chen ; Yisong, Zhao ; Yanhe, Sun
Author_Institution :
Northeast Electr. Power Res. Inst. Co. Ltd.
Abstract :
The paper presents an approach to realize the complex wavelet method which used in extracting PD (partial discharge) signal features of large 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 :
eigenvalues and eigenfunctions; partial discharges; power transformers; wavelet transforms; complex wavelet transformation; large power transformer; partial discharge; real wavelet transformation; signal features extraction; transformer insulation; 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 :
Industrial Technology, 2009. ICIT 2009. IEEE International Conference on
Conference_Location :
Gippsland, VIC
Print_ISBN :
978-1-4244-3506-7
Electronic_ISBN :
978-1-4244-3507-4
DOI :
10.1109/ICIT.2009.4939555
