• DocumentCode
    2853518
  • Title

    The application of a multi-wavelet denoising method in the diagnosis of rotor interturn short-circuits

  • Author

    Li, Yonggang ; Wang, Chengyong ; Li, Shuang ; Wang, Chengqiang ; Lu, Yueqin

  • Author_Institution
    The Department of Electrical Engineering, North China Electric Power University, Baoding, Hebei, 071003 China
  • Volume
    1
  • fYear
    2012
  • fDate
    2-5 June 2012
  • Firstpage
    520
  • Lastpage
    524
  • Abstract
    Based on the detecting coil method for detecting interturn short-circuits in turbine-generator rotor windings, a multi-wavelet denoising method with correlative coefficients is presented in this paper. While the generator is operating with load, EMF signals on the detecting coil are treated with noise elimination by using the multi-wavelet analysis method and considering the characteristics and frequency ranges of the signals. Practical examples have shown that this method is effective to realize noise elimination and it can achieve better result than traditional wavelet denoising method when dealing with the signals on the detecting coil. And it is applicable to on-line checking for interturn short-circuits in turbine-generator rotor windings.
  • Keywords
    Coils; Correlation; Generators; Noise; Noise reduction; Rotors; Windings; correlative coefficients; multi-wavelet analysis; turbine-generator rotor; windings interturn short-circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference (IPEMC), 2012 7th International
  • Conference_Location
    Harbin, China
  • Print_ISBN
    978-1-4577-2085-7
  • Type

    conf

  • DOI
    10.1109/IPEMC.2012.6258794
  • Filename
    6258794