• DocumentCode
    3321709
  • Title

    System health management for Unmanned Aerial Vehicle: Conception, state-of-art, framework and challenge

  • Author

    Dai Jing ; Wang haifeng

  • Author_Institution
    Chendu Aircraft Design & Res. Inst., AVIC, Chengdu, China
  • Volume
    2
  • fYear
    2013
  • fDate
    16-19 Aug. 2013
  • Firstpage
    859
  • Lastpage
    863
  • Abstract
    This paper presents the future reasonable and feasible technology of prognostics and health management (PHM) for the Unmanned Aerial Vehicle (UAV). Based on the introduction of the System Health Management (SHM) for complex systems, we propose an SHM system framework and architecture for UAV to improve the reliability and maintenance for the complex UAV systems. In this framework, the related state-of-arts, key techniques are analyzed in detail. Finally, the challenges in SHM for UAVs are illuminated.
  • Keywords
    aerospace computing; autonomous aerial vehicles; condition monitoring; control engineering computing; fault diagnosis; software architecture; software maintenance; software reliability; PHM; SHM system; UAV architecture; complex UAV systems maintenance; complex UAV systems reliability; prognostics and health management; system health management; unmanned aerial vehicle; Aerospace electronics; Aircraft; Data models; Maintenance engineering; Monitoring; Prognostics and health management; Testing; Prognostics and Health Management; SHM System Framework; System Health Management; Unmanned Aerial Vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments (ICEMI), 2013 IEEE 11th International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-0757-1
  • Type

    conf

  • DOI
    10.1109/ICEMI.2013.6743144
  • Filename
    6743144