• DocumentCode
    1976181
  • Title

    Rotor broken-bar fault detection using a combined method of MUSIC and orthogonal projection

  • Author

    Wang, Xiangjun ; Fang, Fang

  • Author_Institution
    Coll. of Electr. & Informational Eng., Naval Univ. of Eng., Wuhan, China
  • fYear
    2011
  • fDate
    16-18 Sept. 2011
  • Firstpage
    1254
  • Lastpage
    1257
  • Abstract
    It is difficult to detect the rotor broken-bar fault feature frequency components as they always hide behind the strong supply frequency component and noise in the spectrum of the stator current when the induction motor is in steady running state. A new combined detection method of multiple signal classification (MUSIC) and orthogonal projection is presented in this paper. At first, the strong supply frequency component in the stator current is filtered out but the other harmonics retained by orthogonal projection. Then MUSIC is employed to analyze the filtered signal. Without the influence of the supply frequency component, the fault feature frequency components are easy to be found in the spectrum. The results of simulation and experiment show that the proposed method is feasible and effective.
  • Keywords
    fault diagnosis; filtering theory; induction motors; power engineering computing; rotors; signal classification; MUSIC; fault feature frequency components; filtered signal; multiple signal classification; orthogonal projection; rotor broken-bar fault detection; supply frequency component; three-phase induction motors; Eigenvalues and eigenfunctions; Harmonic analysis; Induction motors; Multiple signal classification; Power harmonic filters; Rotors; Stators; MUSIC; fault detection; induction motor; orthogonal projection; rotor broken-bar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2011 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8162-0
  • Type

    conf

  • DOI
    10.1109/ICECENG.2011.6057204
  • Filename
    6057204