• DocumentCode
    157365
  • Title

    Electrical fault diagnosis for an induction motor using an electromechanical FE model

  • Author

    Far, M. Farzam ; Arkkio, Antero ; Roivainen, Jussi

  • Author_Institution
    Sch. of Electr. Eng., Aalto Univ., Aalto, Finland
  • fYear
    2014
  • fDate
    2-5 Sept. 2014
  • Firstpage
    1881
  • Lastpage
    1887
  • Abstract
    This paper focuses on utilizing motor vibration as an indicator for these two electromagnetic faults in electrical machines: a broken rotor bar and an inter-turn short circuit in the stator winding. These two faults deform the magnetic field in motors, which generates additional magnetic forces in the air gap. As the result, the motor structure vibrates more, compared to the normal operation. For the purpose of fault detection, as the main subject of this paper, a 3-D model was developed in COMSOL Multiphysics. Thereafter, the radial and tangential forces (the main causes of vibration in electrical machines) were introduced to the model as boundary loads on the stator teeth. Frequency response analysis was then performed to collect acceleration data from the frame surface for each operating conditions. Finally, the simulation results illustrated that vibration is a beneficial signature for fault detection in electrical machines.
  • Keywords
    air gaps; electric machine analysis computing; electrical faults; fault diagnosis; finite element analysis; induction motors; magnetic fields; mechanical engineering computing; rotors; solid modelling; stators; vibrations; 3D model; COMSOL multiphysics; acceleration data collection; broken rotor bar; electrical fault diagnosis; electrical machines; electromagnetic faults; electromechanical FE model; fault detection; finite element analysis; frequency response analysis; induction motor; interturn short circuit; magnetic field; magnetic force generation; motor vibration utilization; radial forces; stator teeth; stator winding; tangential forces; Acceleration; Force; Induction motors; Rotors; Stator windings; Vibrations; 3-D model; Electrical machine; Fault detection; Finite element analysis; Induction motor; Mechanical vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines (ICEM), 2014 International Conference on
  • Conference_Location
    Berlin
  • Type

    conf

  • DOI
    10.1109/ICELMACH.2014.6960440
  • Filename
    6960440