• DocumentCode
    2402654
  • Title

    Mechanical load fault detection in induction motors by stator current time-frequency analysis

  • Author

    Blödt, Martin ; Faucher, Jean ; Dagues, Bruno ; Chabert, Marie

  • Author_Institution
    Laboratoire d´´Electrotechnique et d´´Electronique Industrielle, CNRS, Toulouse
  • fYear
    2005
  • fDate
    15-15 May 2005
  • Firstpage
    1881
  • Lastpage
    1888
  • Abstract
    This paper examines the detection of mechanical faults in induction motors by stator current analysis. Mechanical faults lead generally to periodic load torque oscillations. The influence of the torque oscillations on the induction motor stator current is studied. The mechanical fault results in a sinusoidal phase modulations of the stator current. Based on these assumptions, several signal processing methods suitable for stator current signature analysis are discussed: classical spectral analysis, instantaneous frequency estimation and time-frequency analysis using the Wigner distribution. Experimental and simulation results validate the theoretical approach
  • Keywords
    Wigner distribution; fault location; frequency estimation; induction motors; phase modulation; stators; time-frequency analysis; torque; Wigner distribution; frequency estimation; induction motors; mechanical load fault detection; periodic load torque oscillations; signal processing methods; sinusoidal phase modulations; spectral analysis; stator current signature analysis; time-frequency analysis; Fault detection; Frequency estimation; Induction motors; Phase modulation; Signal analysis; Signal processing; Spectral analysis; Stators; Time frequency analysis; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines and Drives, 2005 IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-8987-5
  • Electronic_ISBN
    0-7803-8988-3
  • Type

    conf

  • DOI
    10.1109/IEMDC.2005.195977
  • Filename
    1531595