• DocumentCode
    2345661
  • Title

    Intelligent Ship Hull Inspection and NDT Using ROV Based Flux Leakage Expert System

  • Author

    Hedayati, Mohammad Reza ; Amidian, Ali Asghar ; Sadr, S. Ataollah ; Razazan, Abdoulkarim

  • Author_Institution
    Sci.-Appl. Fac. of Post & Telecommun. (Minist. of ICT), Univ. of Appl. Sci. & Technol., Tehran, Iran
  • fYear
    2010
  • fDate
    28-30 Sept. 2010
  • Firstpage
    412
  • Lastpage
    415
  • Abstract
    This paper describes the evolution of an especially designed sub sea Remotely Operated Vehicle (ROV) with dedicated electromagnetic flux leakage searching arm as a part of associated intelligent Non Destructive Testing arrangement, which is intended for inspecting the outer surface of large ship hull and floating production storage offloading (FPSO) platforms with complex shaped structures. Current research achievements apply the expert system techniques in the diagnostic system of sub sea exterior underwater hull and components base on the concept of Ampere´s law and method of measuring circulating currents without any physical destruction by testing the suspected section of ship hull which is subjected to alternating current flow with selected frequencies.
  • Keywords
    condition monitoring; diagnostic expert systems; inspection; magnetic leakage; nondestructive testing; offshore installations; production engineering computing; remotely operated vehicles; ships; structural engineering; Amperes law; NDT; ROV; diagnostic expert system; electromagnetic flux leakage; floating production storage offloading platforms; intelligent ship hull inspection; nondestructive testing; remotely operated vehicle; ROV based intelligent NDT; electromagnetic flux leakage; expert system; ship hull inspection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 Second International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-8652-6
  • Electronic_ISBN
    978-0-7695-4262-1
  • Type

    conf

  • DOI
    10.1109/CIMSiM.2010.68
  • Filename
    5701882