• DocumentCode
    3602612
  • Title

    Oil-Whirl Fault Modeling, Simulation, and Detection in Sleeve Bearings of Squirrel Cage Induction Motors

  • Author

    Ojaghi, Mansour ; Yazdandoost, Naser

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Zanjan, Zanjan, Iran
  • Volume
    30
  • Issue
    4
  • fYear
    2015
  • Firstpage
    1537
  • Lastpage
    1545
  • Abstract
    Bearings are divided into two main categories: rolling bearings and sleeve bearings. The sleeve bearings are normally used in electrical machines above 200-hp rating. In this paper, dynamic modeling and simulation of a squirrel cage induction motor with sleeve bearings under oil-whirl fault is performed. The required air gap function under the fault is defined using earlier experimental results. Then, a winding function approach is used for modeling and simulation of the motor with faulty sleeve bearings. Accuracy of the simulation is approved by comparison to the corresponding experimental results. The stator line current harmonics produced by the bearing oil-whirl fault are identified, and the best harmonics as the fault index are chosen considering sensitivity of the harmonics to the fault severity, as well as the load level change and supply voltage unbalance. Selected index is used to determine the severity of oil-whirl fault in sleeve bearing of an induction motor working in a real production line.
  • Keywords
    fault diagnosis; squirrel cage motors; stators; fault index; fault severity; load level change; oil-whirl fault modeling; sleeve bearings; squirrel cage induction motors; stator line current harmonics; supply voltage unbalance; winding function approach; Atmospheric modeling; Induction motors; Rotors; Shafts; Stator windings; Vibrations; Fault diagnosis; induction motor; modeling; oil-whirl fault; simulation; sleeve bearing;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2015.2431722
  • Filename
    7114288