• DocumentCode
    1194569
  • Title

    A robust, on-line turn-fault detection technique for induction machines based on monitoring the sequence component impedance matrix

  • Author

    Lee, Sang Bin ; Tallam, Rangarajan M. ; Habetler, Thomas G.

  • Author_Institution
    Electr. Machines & Drives Lab., Gen. Electr. Global Res. Center, Niskayuna, NY, USA
  • Volume
    18
  • Issue
    3
  • fYear
    2003
  • fDate
    5/1/2003 12:00:00 AM
  • Firstpage
    865
  • Lastpage
    872
  • Abstract
    A simple and robust sensorless technique for online stator winding turn fault detection based on monitoring an off-diagonal term of the sequence component impedance matrix is proposed in this paper. Due to the destructive and rapidly propagating nature of insulation failure, it is critical to detect turn faults in an early stage to prevent further damage to the motor. The motor nonidealities such as the variation in the supply voltage unbalance, slip-dependent influence of inherent motor asymmetry, and measurement errors must be taken into account in order to reliably detect a turn fault in its incipient stage. Simulation and experimental results on a 5 hp induction machine are given to confirm the validity of the proposed method. It is shown that the proposed turn fault detection scheme is simple and is capable of providing reliable fault detection that is immune to the motor nonidealities.
  • Keywords
    asynchronous machines; computerised monitoring; fault diagnosis; machine testing; monitoring; power engineering computing; stators; 5 hp; damage prevention; induction machine turn-fault detection technique; insulation failure; measurement errors; motor asymmetry; sequence component impedance matrix monitoring; stator winding; supply voltage unbalance; Condition monitoring; Fault detection; Impedance; Induction machines; Insulation; Robustness; Stator cores; Stator windings; Thermal stresses; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8993
  • Type

    jour

  • DOI
    10.1109/TPEL.2003.810848
  • Filename
    1198066