Prognostic-Enabling of an Electrohydrostatic Actuator (EHA) System
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
Abstract
A proof-of-concept prognostic solution for certain failure modes in the power electronics that drive the flight-critical F-35 Joint Strike Fighter (JSF) electrohydrostatic actuators (EHA) is presented. This program was led by Ridgetop Group under U.S. NAVAIR Small Business Innovation Research (SBIR) funding, and included Lockheed Martin Aeronautics Company (LM), Moog, and Dell Services (Netherlands). Degradation of the optocoupler that isolates the control electronics from the power electronics was simulated in the lab by physically changing resistance values to alter the current transfer ratio. It is proposed that this degradation would also be indicative of insulated gate bipolar transistor (IGBT) wearout. The experimental approach, the test facility, the data analysis and the findings are discussed. An Off-Board Prognostics Health Management (OBPHM) Demonstrator, developed by Ridgetop Group and Dell Systems and representative of the production OBPHM application currently deployed for the F-35 is described. Implementation considerations and challenges are also discussed.
How to Cite
##plugins.themes.bootstrap3.article.details##
CBM, prognostics, IGBT, EMA, Electrohydrostatic Actuator, EHA, optocoupler
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.