• DocumentCode
    384879
  • Title

    Study on the recognition of transformer winding deformation by using wavelet transform in the LVI method

  • Author

    Chen, Weigen ; Sun, Caixin ; Yun, Yang ; Xie, Zhengjun

  • Author_Institution
    Lab. of High Voltage Eng. & Electr. New Technol., Chongqing Univ., China
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1966
  • Abstract
    This paper illustrates methods of extracting instinct parameters and deformation recognition by using wavelet transform, which is applied in a low voltage impulse (LVI) method for power transformer winding deformation detection. The results show that it is effective to eliminate the noises by using the wavelet transform. It can also make measurement repetitive and has the property of model recognition on deformation.
  • Keywords
    deformation; fault diagnosis; power transformers; transformer windings; wavelet transforms; low voltage impulse method; model recognition; noise elimination; power transformer winding deformation detection; wavelet transform; Circuit faults; Discrete wavelet transforms; Filters; Frequency; Low voltage; Signal processing; Sun; Wavelet domain; Wavelet transforms; Windings;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
  • Print_ISBN
    0-7803-7459-2
  • Type

    conf

  • DOI
    10.1109/ICPST.2002.1067877
  • Filename
    1067877