• DocumentCode
    2299817
  • Title

    HVDC system fault identification using S-transform approach

  • Author

    Srikanth, P. ; Chandel, A.K. ; Naik, K.A.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Inst. of Technol., Hamirpur, India
  • fYear
    2010
  • fDate
    Nov. 29 2010-Dec. 1 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the present paper HVDC fault analysis using Stockwell Transforms is carried out. Stockwell Transform is utilized for the real time prediction of the disturbance as it accurately determines the sudden changes in the signal. The method uses the scalable Gaussian window which dilates and translates the time varying function and hence the prediction is very accurate. The presented technique has been tested on various types of HVDC faults to show the efficacy of the proposed technique.
  • Keywords
    HVDC power convertors; HVDC power transmission; power transmission faults; transforms; HVDC system fault identification; S-transform approach; Stockwell transforms; scalable Gaussian window; time varying function; Circuit faults; Fault diagnosis; HVDC transmission; Rectifiers; Time frequency analysis; Wavelet transforms; Contours; S-transform; faults; wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power, Control and Embedded Systems (ICPCES), 2010 International Conference on
  • Conference_Location
    Allahabad
  • Print_ISBN
    978-1-4244-8543-7
  • Type

    conf

  • DOI
    10.1109/ICPCES.2010.5698683
  • Filename
    5698683