DocumentCode
1712649
Title
Wavelet-based and fractal theory on partial discharge classification
Author
Du, B.X. ; Wei, Guozhong ; Wu, Yuan ; Ouyang, Mingjian
Author_Institution
Coll. of Electr. Eng. & Autom., Tianjin Univ., China
Volume
2
fYear
2005
Firstpage
463
Abstract
In this paper, a novel 3-dimensional pattern of partial discharge (PD) was set-up based on the theory of wavelet analysis. The PD pattern could reflect the discharge characteristic. The parameters which characterize the PD were the frequency, the time and the energy. The fractal theory was adopted for the feature extraction and classification. The experiments have been carried out to validate the method with three kinds of artificial PD models. The results indicate that the proposed methodology has the recognizing and classifying ability for the PD types.
Keywords
feature extraction; fractals; insulation testing; partial discharge measurement; power apparatus; time-frequency analysis; wavelet transforms; 3-dimensional pattern recognition; PD; discharge characteristic; feature classification; feature extraction; fractal theory; frequency-domain analysis; partial discharge; time-domain analysis; wavelet analysis; Feature extraction; Fractals; Frequency; Insulation; Needles; Partial discharges; Pulse measurements; Signal analysis; Surface discharges; Time domain analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Insulating Materials, 2005. (ISEIM 2005). Proceedings of 2005 International Symposium on
Print_ISBN
4-88686-063-X
Type
conf
DOI
10.1109/ISEIM.2005.193589
Filename
1496189
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