• DocumentCode
    3516449
  • Title

    Electronic Prognostics System Implementation on Power Actuator Components

  • Author

    Vohnout, Sonia ; Kozak, Mladen ; Goodman, Douglas ; Harris, Ken ; Judkins, Justin

  • Author_Institution
    Ridgetop Group, Tucson, AZ
  • fYear
    2008
  • fDate
    1-8 March 2008
  • Firstpage
    1
  • Lastpage
    11
  • Abstract
    Prognostics-enablement of power actuator components involves acquisition and processing of multiple data and sensor inputs. Data collection and fusion creates an accurate prognostic prediction. To that end, Ridgetop has developed an extensible Prognostic Analysis System Platform and a companion Prognostics Telemetry Harness. With an electro-mechanical actuator (EMA) as the focus, this paper describes the extensible architecture for a prognostics health management (PHM) system providing state of health (SoH) and remaining useful life´ (RUL) metrics. The key enabler is the ridgetop prognostics telemetry harness (RPTH), which collects and preprocesses signals relating to the health of dynamically executing components and subsystems. With an ultimate target of 100% up-time, prognostics is an effective tool for managing the corrective early actions required to avoid costly down-time events. An example is detailed using a common EMA and further analysis explores the return-on-investment justifying prognostics adoption.
  • Keywords
    aerospace control; aerospace instrumentation; aerospace testing; electric actuators; maintenance engineering; telemetry; data collection; data fusion; electro-mechanical actuator; electronic prognostics system; power actuator components; prognostics health management; prognostics-enablement; remaining useful life metrics; ridgetop prognostics telemetry harness; state of health metric; Aerospace control; Circuit faults; Circuit testing; Data mining; Hydraulic actuators; Military aircraft; Mission critical systems; Space vehicles; Telemetry; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2008 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4244-1487-1
  • Electronic_ISBN
    1095-323X
  • Type

    conf

  • DOI
    10.1109/AERO.2008.4526607
  • Filename
    4526607