• DocumentCode
    792221
  • Title

    A frequency-domain detection of stator winding faults in induction machines using an external flux sensor

  • Author

    Henao, Humberto ; Demian, Cristian ; Capolino, Gérard-André

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Picardie, Amiens, France
  • Volume
    39
  • Issue
    5
  • fYear
    2003
  • Firstpage
    1272
  • Lastpage
    1279
  • Abstract
    The aim of this paper is to present the advantage of stator fault detection using an external stray flux sensor in a working induction machine. In the past 20 years, stray flux sensors have been used for diagnostic purposes but rarely in the presence of a complex power supply such as a voltage static inverter. In this paper, it is proved that a simple external stray flux sensor is more efficient than the classical stator current signature analysis to detect inter-turn short circuit in three-phase induction machines. The new result is that, even in the presence of power supply harmonics, it is possible to easily detect the stator winding faults in the low-frequency range of the flux spectrum with low-frequency resolution.
  • Keywords
    fault location; harmonic analysis; invertors; magnetic flux; magnetic variables measurement; power supplies to apparatus; short-circuit currents; squirrel cage motors; stators; 11 kW; 230 V; 400 V; 50 Hz; diagnostic purposes; external flux sensor; flux spectrum; four-pole squirrel-cage induction motor; frequency-domain detection; harmonic analysis; induction machine; inter-turn short circuit detection; low-frequency range; low-frequency resolution; power supply; power supply harmonics; stator current signature analysis; stator fault detection; stator winding faults; stray flux sensors; three-phase induction machines; voltage static inverter; Circuit faults; Condition monitoring; Electrical fault detection; Fault detection; Induction machines; Power supplies; Signal processing; Stator windings; Torque; Voltage;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2003.816531
  • Filename
    1233585