• DocumentCode
    3559832
  • Title

    De-noising of partial discharge signal using eigen-decomposition technique

  • Author

    Abdel-Galil, T.K. ; El-Hag, Ayman H. ; Gaouda, A.M. ; Salama, M.M.A. ; Bartnikas, R.

  • Author_Institution
    SNC LAVALIN ATP, Toronto, ON
  • Volume
    15
  • Issue
    6
  • fYear
    2008
  • fDate
    12/1/2008 12:00:00 AM
  • Firstpage
    1657
  • Lastpage
    1662
  • Abstract
    The Rogowski coil method for the measurements and detection of PD signals represents a cost effective and practical way to measure PD signals in electrical power apparatus; however it is subject to excessive noise pick-up because of its inductive nature. This paper discusses the implementation of a de-noising algorithm using eigen-decomposition approach, which can be utilized in order to minimize the extraneous noise encountered with on-line tests in the field. The proposed algorithm possesses the inherent advantage of decomposing the signal space and separates it from the noise subspaces. Results discussed in the paper demonstrate the performance of the proposed technique for both simulated and experimental PD signals.
  • Keywords
    eigenvalues and eigenfunctions; partial discharges; power apparatus; signal denoising; signal detection; Rogowski coil method; eigendecomposition technique; electrical power apparatus; partial discharge signal; signal denoising; signal detection; Coils; Costs; Electric variables measurement; Noise measurement; Noise reduction; Partial discharge measurement; Partial discharges; Power measurement; Signal detection; Testing; Partial discharge, detection, noise, Eigen value decomposition;
  • fLanguage
    English
  • Journal_Title
    Dielectrics and Electrical Insulation, IEEE Transactions on
  • Publisher
    ieee
  • Conference_Location
    12/1/2008 12:00:00 AM
  • ISSN
    1070-9878
  • Type

    jour

  • DOI
    10.1109/TDEI.2008.4712670
  • Filename
    4712670