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Design and Analysis of a Scale-Sized Electromechanical Actuator for Unsteady Condition Monitoring Applications

[+] Author Affiliations
Jason R. Kolodziej

Rochester Institute of Technology, Rochester, NY

William S. Craig

University of Maryland, College Park, MD

Paper No. DSCC2015-9688, pp. V002T19A001; 10 pages
doi:10.1115/DSCC2015-9688
From:
  • ASME 2015 Dynamic Systems and Control Conference
  • Volume 2: Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications
  • Columbus, Ohio, USA, October 28–30, 2015
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5725-0
  • Copyright © 2015 by ASME

abstract

Growing interest in using Electromechanical Actuators to replace current hydraulic actuation methods on aircraft control surfaces has driven significant research in the area of prognostics and health management. Non-stationary speeds and loads in the course of controlling an aircraft surface make fault identification in EMAs difficult. This work presents a time-frequency analysis of EMA thrust bearing vibration signals using wavelet transforms. A lab sized EMA system is designed and fabricated to allow for quick and repeatable component replacement. Indentation faults from moderate and heavy loads are seeded in the thrust bearings and are then tested to generate data. An artificial neural network achieves 95% classification accuracy in a two class scenario using healthy and moderately spalled thrust bearings.

Copyright © 2015 by ASME

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