• DocumentCode
    3309859
  • Title

    An open architecture for enabling CBM/PHM capabilities in ground vehicles

  • Author

    Das, Sreerupa ; Hall, Richard ; Patel, Amar ; McNamara, Steve ; Todd, Jonathan

  • Author_Institution
    Global Training & Logistics, Lockheed Martin, Orlando, FL, USA
  • fYear
    2012
  • fDate
    18-21 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper describes a comprehensive, open and extensible architecture for a Ground Vehicle Health and Usage Monitoring System (GV-HUMS) that enables both Condition Based Maintenance (CBM) and Prognostics and Health Management (PHM) in vehicles. The on-board software provides near real time diagnostic and prognostic analysis in addition to gathering sensor data for off-board data mining. The CBM and PHM capabilities are provided as services and can be incrementally refined and expanded over time as the system collects more data without requiring an on-board software refresh in the system. The off-board software component allows for efficient data collection, data management, enables data mining, development and refinement of PHM and CBM capabilities and efficient collection of maintenance and fault data. The GV-HUMS system is modular and can be easily adapted to provide diagnostic and prognostic analysis for other vehicles on ground, water or air. This paper will provide a high level overview of the architecture, the incremental design approach, and current status of the system.
  • Keywords
    condition monitoring; data mining; design engineering; mechanical engineering computing; sensor fusion; software maintenance; vehicles; CBM capabilities; GV-HUMS; air vehicles; condition-based maintenance; data management; fault data collection; ground vehicle health-and-usage monitoring system; incremental design approach; maintenance data collection; off-board data mining; off-board software component; on-board software; open architecture; prognostics-and-health management; real-time diagnostic analysis; real-time prognostic analysis; sensor data gathering; water vehicles; Computer architecture; Land vehicles; Maintenance engineering; Monitoring; Prognostics and health management; Software; Condition Based Maintenance; Condition Indicators; Ground Vehicles; Prognostic Health Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and Health Management (PHM), 2012 IEEE Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4673-0356-9
  • Type

    conf

  • DOI
    10.1109/ICPHM.2012.6299529
  • Filename
    6299529