• DocumentCode
    3522099
  • Title

    The Application in the Fault of High Voltage Electric Power Measurement System Based on Wavelet Analysis with the Improved Threshold Algorithm

  • Author

    Zhao Jian-jun ; Hu Wei-wei ; Gu Xiao-guang ; Yang Peng

  • Author_Institution
    Inst. of Adv. Control & Intell. Inf. Process., Henan Univ., Kaifeng, China
  • fYear
    2011
  • fDate
    28-29 May 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, An algorithm which uses an improved threshold algorithm in the de-noising of electricity signals and then extracted the fault feature by db10 wavelet, is proposed because of the features in the fault of high voltage electric power measurement system. Experiment results show that it is more efficient to de-noising by the improved threshold algorithm in wavelet analysis. The method in the diagnosis of fault of electric power measurement is very practical valuable.
  • Keywords
    fault diagnosis; power system measurement; wavelet transforms; dblO wavelet; electricity signals; fault diagnosis; high voltage electric power measurement system; improved threshold algorithm; wavelet analysis; Noise reduction; Voltage measurement; Wavelet analysis; Wavelet coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9855-0
  • Electronic_ISBN
    978-1-4244-9857-4
  • Type

    conf

  • DOI
    10.1109/ISA.2011.5873432
  • Filename
    5873432