• 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