• DocumentCode
    2399844
  • Title

    Broken rotor bars fault detection in squirrel cage induction machines

  • Author

    Yazidi, Amine ; Henao, Humberto ; Capolino, Gérard-André

  • Author_Institution
    Dept. of Electr. Eng., Picardie Univ., Amiens
  • fYear
    2005
  • fDate
    15-15 May 2005
  • Firstpage
    741
  • Lastpage
    747
  • Abstract
    Intensive research efforts have been focused on the signature analysis (SA) to detect electrical and mechanical faults of three-phase squirrel-cage induction machines. For this purpose, different signals can be used such as stator voltages, stator currents, stray flux and input power. The diagnosis methods based on current signals analysis (CSA) are the most popular. The interpretation of one-phase current spectrum or three-phase current space vector spectrum provides direct information on the presence of abnormal conditions. In this paper, attention has been paid to the stray flux for rotor fault diagnosis of the three-phase squirrel-cage induction machines
  • Keywords
    fault diagnosis; magnetic flux; rotors; squirrel cage motors; stators; broken rotor bars fault; current signals analysis; electrical faults detection; input power; mechanical faults detection; one-phase current spectrum; rotor fault diagnosis; signature analysis; squirrel cage induction machines; stator currents; stator voltages; stray flux; three-phase current space vector spectrum; Bars; Circuit faults; Electrical fault detection; Fault detection; Induction machines; Machine windings; Rotors; Stator windings; Torque; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines and Drives, 2005 IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-8987-5
  • Electronic_ISBN
    0-7803-8988-3
  • Type

    conf

  • DOI
    10.1109/IEMDC.2005.195805
  • Filename
    1531423