DocumentCode :
2952239
Title :
Wavelet Packet Analyzing of Power Transformer Partial Discharge Signals
Author :
Gao Sheng-Wei ; Zhang Mu ; Yuan Chen-Hu ; Sun Xing-Tao ; Zhang Chuang
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Polytech. Univ., Tianjin, China
fYear :
2011
fDate :
30-31 July 2011
Firstpage :
1
Lastpage :
4
Abstract :
It is very important and effective that the online monitoring of partial discharge(PD) for the transformer to detecting defects. The sensitivity of online monitoring system has been influenced by strong external interference. With the development of computer and signal processing technology, many digital signal processing technologies, such as infinite impulse response filter, finite impulse response filter and wavelet analysis, have been used to extract the PD within the strong background noise. The wavelet packet analyzing about the PD online monitoring has been discussed in this article.By analyzing the simulation signals of PD. It has been proved that wavelet packet analyzing is convenient, effective, and can improve the sensitivity in PD online measurement system.
Keywords :
FIR filters; IIR filters; condition monitoring; partial discharge measurement; power transformers; wavelet transforms; PD online measurement system; PD online monitoring system; background noise; computer technology; defect detection; digital signal processing technologies; finite impulse response filter; infinite impulse response filter; power transformer partial discharge signals; wavelet analysis; wavelet packet; Interference; Partial discharges; Power transformers; Wavelet analysis; Wavelet domain; Wavelet packets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
Type :
conf
DOI :
10.1109/ICCASE.2011.5997569
Filename :
5997569
Link To Document :
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