• DocumentCode
    2736804
  • Title

    On-line damage detection for autonomous underwater vehicles

  • Author

    Rae, Graeme J S ; Dunn, S.E.

  • Author_Institution
    Marine & Environmental Systems Div., Florida Inst. of Technol., Melbourne, FL, USA
  • fYear
    1994
  • fDate
    19-20 Jul 1994
  • Firstpage
    383
  • Lastpage
    392
  • Abstract
    The advent of the remotely operated vehicle (ROV) greatly improved our ability to explore and understand the world in which we live, but these vehicles were always limited by cables that tethered them to a support facility. Now, with the advent of practical autonomous underwater vehicles (AUVs) the cord can be cut, allowing these robot sentinels to wander the oceans at will. The only limitations on the missions these robots will be able to perform are the available power supply, on-board intelligence and the imagination of the user. If these vehicles will be operating for weeks or even months at a time, a prime concern will be the ability of the vehicle to monitor its own health. This paper seeks to address this problem through the development of a system that can monitor the health of any onboard system
  • Keywords
    fault diagnosis; identification; intelligent control; maintenance engineering; marine systems; mobile robots; real-time systems; telerobotics; autonomous underwater vehicles; on-board intelligence; on-board system health monitoring; online damage detection; remotely operated vehicle; robot; Adaptive control; Condition monitoring; Control systems; Degradation; Intelligent robots; Oceans; Remotely operated vehicles; Underwater tracking; Underwater vehicles; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Underwater Vehicle Technology, 1994. AUV '94., Proceedings of the 1994 Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7803-1808-0
  • Type

    conf

  • DOI
    10.1109/AUV.1994.518651
  • Filename
    518651