• DocumentCode
    817322
  • Title

    Model-based detection of rotor faults without rotor position sensor-the sensorless Vienna monitoring method

  • Author

    Kral, Christian ; Pirker, Franz ; Pascoli, Gert

  • Author_Institution
    Arsenal Res., Vienna, Austria
  • Volume
    41
  • Issue
    3
  • fYear
    2005
  • Firstpage
    784
  • Lastpage
    789
  • Abstract
    This paper deals with an extended approach of the Vienna Monitoring Method (VMM), which is a model-based technique to detect rotor asymmetries in the squirrel cage of an induction machine. The conventional VMM requires the measured voltages, currents, and the signal of a rotor position sensor. The novel scheme presented in this paper alternatively works without a rotor position sensor. In particular, for low-inertia drives, accurate estimation of rotor position is required. The rotor-fault-related double-slip-frequency torque modulation causes a speed ripple with the same frequency. Consequently, low-inertia drives are exposed to higher speed ripples. In this case, it is not sufficient to estimate the mean value of the actual speed, only. Even the speed ripple has to be acquired to benefit from the accuracy of the employed models of the VMM. The proposed technique evaluates the signatures of an inherent rotor fault in order to determine the rotor position signal. The speed ripple can be obtained from the torque modulations that the models already compute. This way, an accurate rotor fault detection technique without rotor position sensor can be realized.
  • Keywords
    asynchronous machines; fault location; machine testing; monitoring; rotors; double-slip-frequency torque modulation; low-inertia drive; rotor fault detection; rotor position estimation; sensorless Vienna monitoring method; speed ripple; squirrel cage induction machine; Condition monitoring; Current measurement; Electrical fault detection; Fault detection; Frequency; Induction machines; Position measurement; Rotors; Torque; Voltage; Diagnostics; electrical rotor asymmetry; fault detection; induction machine; model; monitoring; rotor fault; squirrel cage; torque; without speed sensor;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2005.847316
  • Filename
    1433003