• DocumentCode
    2353465
  • Title

    Enhanced partial discharge de-noising technique using eigen-decomposition

  • Author

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

  • Author_Institution
    King Fahd Univ. of Pet. & Miner., Dhahran
  • fYear
    2006
  • fDate
    11-14 June 2006
  • Firstpage
    294
  • Lastpage
    297
  • 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
    coils; costing; eigenvalues and eigenfunctions; partial discharge measurement; power apparatus; signal denoising; signal detection; signal representation; PD signal detection; Rogowski coil; cost effective approach; costing; de-noising algorithm; eigen-decomposition; partial discharge measurement; power apparatus; signal decomposition; Coils; Costs; Electric variables measurement; Noise measurement; Noise reduction; Partial discharge measurement; Partial discharges; Power measurement; Signal detection; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation, 2006. Conference Record of the 2006 IEEE International Symposium on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1089-084X
  • Print_ISBN
    1-4244-0333-2
  • Type

    conf

  • DOI
    10.1109/ELINSL.2006.1665315
  • Filename
    1665315