• DocumentCode
    1699654
  • Title

    Detection of shorted-turns in the rotor winding of cylindrical synchronous generators using discrete wavelet transform

  • Author

    Kim, Young-Jun ; Kim, Jang-Mok ; Yoon, Byeong-Yeol ; Lee, Sang-Hyuk ; Jung, Tae-Uk

  • Author_Institution
    Dept. of Electr. Eng., Pusan Nat. Univ., Busan, South Korea
  • fYear
    2006
  • Abstract
    This paper describes a method for detecting the shorted-turn of the rotor windings based on the discrete wavelet transform in the cylindrical synchronous generator. Multi-resolution analysis based on discrete wavelet transform provides a set of decomposed signals in independent frequency bands, which contain the independent dynamic information due to the orthogonality of wavelet function. In the proposed method, detecting the shorted-turn of the rotor windings is based on the decomposition of the rotor currents, where wavelet coefficients of these signals have been extracted. Comparing these extracted coefficients is used for diagnosing the healthy condition from faulty conditions. Experimental results show the effectiveness of the proposed method for detecting the shorted-turn of rotor windings in the cylindrical synchronous generator.
  • Keywords
    discrete wavelet transforms; fault diagnosis; machine windings; rotors; synchronous generators; cylindrical synchronous generators; discrete wavelet transform; independent dynamic information; independent frequency bands; multiresolution analysis; rotor currents; rotor winding; shorted-turn detection; wavelet coefficients; wavelet function; Coils; Continuous wavelet transforms; Data mining; Discrete wavelet transforms; Fourier transforms; Frequency; Rotors; Signal analysis; Synchronous generators; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Power Electronics Conference and Exposition, 2006. APEC '06. Twenty-First Annual IEEE
  • Print_ISBN
    0-7803-9547-6
  • Type

    conf

  • DOI
    10.1109/APEC.2006.1620751
  • Filename
    1620751