• DocumentCode
    2273967
  • Title

    Gear fault diagnostics integrated in the motion servo drive for electromechanical actuators

  • Author

    Huh, Kum-Kang ; Lorenz, Robert D. ; Nagel, Nicholas J.

  • Author_Institution
    GE Global Res. Center, Niskayuna, NY, USA
  • fYear
    2009
  • fDate
    20-24 Sept. 2009
  • Firstpage
    2255
  • Lastpage
    2262
  • Abstract
    This research presents contributions made in gear fault diagnostics for motion servos with continuously variable speed as used for aerospace and automotive electromechanical actuators. As the first step for motion servo diagnostics, an observer-based kinematic error estimator is developed whereby this estimated kinematic error is proposed as an operating point independent gear surface fault signature. As the second step, a signal processing method is developed for real-time implementation of spatial domain re-sampling of regular time domain samples and this method is combined with spatial domain synchronous averaging methods, which are shown to be very effective in filtering out unwanted asynchronous signatures. Lastly, a motion servo actuator with a gear surface failure is tested, and the proposed methods are shown to successfully extract the kinematic error profiles of the defective gear during motion servo operation over a wide range of continuously varying velocity.
  • Keywords
    electric actuators; fault diagnosis; filtering theory; gears; motor drives; servomotors; signal processing; aerospace electromechanical actuators; automotive electromechanical actuators; continuously variable speed; gear fault diagnostics; gear surface fault signature; motion servo drive; observer-based kinematic error estimator; signal processing method; spatial domain resampling; spatial domain synchronous averaging methods; Gear fault diagnostics; Kinematic error estimation; Motion servo drive; Spatial domain sampling; Synchronous averaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition, 2009. ECCE 2009. IEEE
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-2893-9
  • Electronic_ISBN
    978-1-4244-2893-9
  • Type

    conf

  • DOI
    10.1109/ECCE.2009.5316080
  • Filename
    5316080