• DocumentCode
    2419036
  • Title

    Enhanced online PD evaluation on power transformers using wavelet techniques and frequency rejection filter for noise suppression

  • Author

    Werle, Peter ; Akbari, Asghar ; Borsi, Hossein ; Gockenbach, Ernst

  • Author_Institution
    Inst. of Electr. Power Syst., Hannover Univ., Germany
  • fYear
    2002
  • fDate
    7-10 Apr 2002
  • Firstpage
    195
  • Lastpage
    198
  • Abstract
    In this contribution different digital filtering algorithms, which use new approaches like the wavelet transform as well as a new introduced adaptive frequency rejection filter in the frequency domain, are investigated concerning their ability to suppress different kinds of noise as they appear during online partial discharge (PD) measurements on power transformers. Therefore various investigations on measured PD signals in the laboratory superimposed by synthetically generated noises have been performed leading to recommendations how different noise types can be efficiently suppressed.
  • Keywords
    adaptive filters; digital filters; frequency-domain analysis; interference suppression; partial discharge measurement; power transformer insulation; power transformer testing; wavelet transforms; white noise; adaptive frequency rejection filter; digital filtering algorithms; frequency domain; frequency rejection filter; online PD evaluation; online partial discharge measurements; power transformers; sinusoidal noise suppression; synthetically generated noise; wavelet techniques; wavelet transform; white noise suppression; Filtering algorithms; Filters; Frequency; Noise generators; Noise measurement; Partial discharge measurement; Partial discharges; Power transformers; Wavelet domain; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation, 2002. Conference Record of the 2002 IEEE International Symposium on
  • Print_ISBN
    0-7803-7337-5
  • Type

    conf

  • DOI
    10.1109/ELINSL.2002.995911
  • Filename
    995911