• DocumentCode
    3209706
  • Title

    A Modeling Approach for Gearbox Monitoring Using Stator Current Signature in Induction Machines

  • Author

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

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Picardie "Jules Verne", Amiens
  • fYear
    2008
  • fDate
    5-9 Oct. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The gearbox monitoring using motor current signature analysis has been rarely proposed while gearboxes are widely used in the industrial applications and they are subjected to progressive deterioration. In this paper, a simple dynamic model of a single stage gearbox is used to show accurately the effect of the rotating input, output and mesh frequency components in the stator current signature for induction machine-based electromechanical systems. With this model, the influence of the transmission error and of the eccentricities of pinion and wheel is shown in the stator current spectrum and it gives an accurate location of the gearbox input and output rotating frequencies. In the same way, the influence of the pinion-wheel teeth contact stiffness variation, which is at the origin of the mesh frequency components in the stator current signature, is demonstrated even for a healthy gearbox. In order to validate the proposed model, a test-bed based on a wound-rotor 4kW three-phase induction machine connected to a gearbox has been used.
  • Keywords
    asynchronous machines; condition monitoring; electric current measurement; gears; machine testing; machine theory; stators; gearbox monitoring; induction machines; mesh frequency components; motor current signature analysis; pinion-wheel eccentricities; pinion-wheel teeth contact stiffness; power 4 kW; stator current signature; Air gaps; Condition monitoring; Electromechanical systems; Frequency; Induction machines; Stators; Teeth; Torque; Vibrations; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Society Annual Meeting, 2008. IAS '08. IEEE
  • Conference_Location
    Edmonton, Alta.
  • ISSN
    0197-2618
  • Print_ISBN
    978-1-4244-2278-4
  • Electronic_ISBN
    0197-2618
  • Type

    conf

  • DOI
    10.1109/08IAS.2008.31
  • Filename
    4658819