• DocumentCode
    481941
  • Title

    Torsional vibration monitoring using induction machine electromagnetic torque estimation

  • Author

    Kia, Shahin Hedayati ; Henao, Humberto ; Capolino, Gérard-André

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Picardie Jules Verne, Amiens
  • fYear
    2008
  • fDate
    10-13 Nov. 2008
  • Firstpage
    3120
  • Lastpage
    3125
  • Abstract
    The heavy duty drives need a continuous monitoring to avoid sudden loss of operation. In these systems, the mechanical anomalies like load troubles, great torque dynamic variations and torsional oscillations, result in the fatigue of the shaft driving electrical machine and other mechanical parts as bearings and gearboxes. Then, the permanent on-site mechanical performance has to be evaluated to predict the residual life time of each mechanical part on the base of combined mechanical loads affecting them. In this way, this paper proposes an electromagnetic torque estimation using non invasive measuring as a mean for mechanical monitoring of torsional stresses. Different electromagnetic torque estimations can be obtained from the induction machine mathematical representation and the simplest one in term of implementation is proposed for grid or inverter-fed machines. A test-bed based on a 5.5 kW squirrel-cage connected to a wound-rotor 4 kW induction machine via a gearbox has been used to validate the proposed method.
  • Keywords
    asynchronous machines; condition monitoring; electric drives; fatigue; gears; machine bearings; shafts; torque; vibration measurement; gearboxes; heavy duty drives; induction machine electromagnetic torque estimation; inverter-fed machines; machine grid; mechanical bearings; mechanical loads; shaft driving electrical machine fatigue; torsional stress monitoring; torsional vibration monitoring; Condition monitoring; Electromagnetic induction; Electromagnetic measurements; Fatigue; Induction machines; Mechanical variables measurement; Shafts; Stress measurement; Torque measurement; Vibrations; Condition monitoring; Induction machine; Mechanical stresses; Torque estimation; Torsional vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-1767-4
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2008.4758459
  • Filename
    4758459