• DocumentCode
    3780289
  • Title

    Transmission line fault classification using discrete wavelet transform

  • Author

    Mousam Choudhury;Amrita Ganguly

  • Author_Institution
    Department of Electrical Engineering, Assam Engineering College, Gauhati University, Guwahati, India
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents wavelet transform based analysis to determine transmission line faults classification. The fault classification technique is developed on the basis of extensive simulation studies carried out on the power system model within the MATLAB Simiilink program for different operating conditions. Discrete wavelet transform has been applied on the fault current and the mean of approximate coefficients of the phase signals is calculated. Daubechies4 wavelet transform has been applied to decompose the phase signals into Scale 1 wavelet coefficient. The detection is carried out by analyzing the mean of approximate coefficients of the phase signals and the fault classification criteria are presented.
  • Keywords
    "Noise measurement","Iron"
  • Publisher
    ieee
  • Conference_Titel
    Energy, Power and Environment: Towards Sustainable Growth (ICEPE), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/EPETSG.2015.7510112
  • Filename
    7510112