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
Link To Document :
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