• DocumentCode
    1557236
  • Title

    Induction machine current space vector features to effectively discern and quantify rotor faults and external torque ripple

  • Author

    Concari, Carlo ; Franceschini, Giovanni ; Tassoni, C.

  • Author_Institution
    Dipt. di Ing. dell´Inf., Univ. degli Studi di Parma, Parma, Italy
  • Volume
    6
  • Issue
    6
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    310
  • Lastpage
    321
  • Abstract
    Intensive research efforts have been spent with the aim of separating the effects of load torque unbalance from those of rotor faults in induction machines. Recent literature reports that active and reactive components of the current space vector seem to show different features in correspondence of the two fault events. This study shows the angular displacement of the above components is fundamental in order to distinguish external torque ripple from rotor faults. The fault severity and the external torque ripple can also be effectively determined. Moreover, the proposed technique allows to assess the range of validity of the usual motor current signature analysis (MCSA), based on the sum of the amplitude of stator current sidebands, for quantifying rotor bar faults.
  • Keywords
    asynchronous machines; electrical faults; stators; torque; MCSA; angular displacement; external torque ripple; induction machine current space vector; induction machines; load torque unbalance; motor current signature analysis; quantify rotor faults; stator current sidebands;
  • fLanguage
    English
  • Journal_Title
    Electric Power Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8660
  • Type

    jour

  • DOI
    10.1049/iet-epa.2011.0217
  • Filename
    6238488