• DocumentCode
    3247215
  • Title

    Statistical evaluation of a new technique for Sweep Frequency Response Analysis

  • Author

    Al Murawwi, Esam ; Barkat, B. ; Mardiana, R.

  • Author_Institution
    Power Eng. & Commissioning, TRANSCO, United Arab Emirates
  • fYear
    2012
  • fDate
    2-5 Dec. 2012
  • Firstpage
    741
  • Lastpage
    744
  • Abstract
    This paper presents a statistical evaluation of a new technique for Sweep Frequency Response Analysis (SFRA). The new technique is based on the time-frequency distribution (TFD). Unlike the Fourier transform based (SFRA) which is a 1-dimensional representation, a TFD is a 2-dimensional representation where both time and frequency are present in one plot. Moreover, a 2-dimensional cross-correlation coefficient (CRC) was used for the proposed technique instead of 1-dimentional CRC which is used for the existing SFRA method. To assess the strength of the proposed technique, Monte-Carlo simulations are used and the average 1-dimentional and 2-dimentional cross correlation coefficients are measured for both SFRA and TFD, respectively.
  • Keywords
    Monte Carlo methods; frequency response; power transformers; time-frequency analysis; transformer testing; 2-dimensional cross-correlation coefficient; 2-dimensional representation; Monte-Carlo simulations; average 1-dimentional cross correlation coefficients; statistical evaluation; sweep frequency response analysis; time-frequency distribution; Correlation coefficient; Frequency response; Noise; Noise measurement; Power transformers; Time frequency analysis; Windings; Cross-Correlation Coefficient; Fourier Transform; Monte-Carlo Simulation; Power Transformers; Sweep Frequency Response Analysis; Time-Frequency Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy (PECon), 2012 IEEE International Conference on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4673-5017-4
  • Type

    conf

  • DOI
    10.1109/PECon.2012.6450314
  • Filename
    6450314