• DocumentCode
    767707
  • Title

    Modeling and Characterization of Induction Motor Internal Faults Using Finite-Element and Discrete Wavelet Transforms

  • Author

    Mohammed, O.A. ; Abed, N.Y. ; Ganu, S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL
  • Volume
    42
  • Issue
    10
  • fYear
    2006
  • Firstpage
    3434
  • Lastpage
    3436
  • Abstract
    This paper examines the behavior of a three-phase induction motors with internal fault conditions under sinusoidal and nonsinusoidal supply voltages. This includes two types of faults, rotor broken bar and stator faults. Early detection and diagnosis of these faults are desirable for condition assessment, maintenance schedule, and improved operational efficiency of induction motors. The terminal behavior of the induction motor was investigated by coupling the induction motor transient finite-element (FE) model and external electric circuit. Such a model would allow the efficient representation of the induction machine with internal faults. A discrete wavelet transform (DWT) was then used to extract the different harmonic components of the stator currents. The key advantages of the DWT are its ability to provide a local representation (in both time and frequency) of the current signal for normal and faulty modes, and its applicability to nonstationary signals
  • Keywords
    discrete wavelet transforms; fault simulation; finite element analysis; induction motors; transient analysis; condition assessment; discrete wavelet transforms; fault detection; fault diagnosis; finite-element analysis; induction motor; internal faults; rotor broken bar; stator faults; terminal behavior; Circuit faults; Coupling circuits; Discrete wavelet transforms; Electrical fault detection; Fault diagnosis; Finite element methods; Induction motors; Rotors; Stators; Voltage; Discrete wavelet transforms; FE; induction machines; internal faults;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2006.879091
  • Filename
    1704651