• DocumentCode
    1601759
  • Title

    ECT Database and Greedy-Search Inverse Analysis for Crack Shape Recovery Arising in Eddy Current Testing

  • Author

    Duong, N.T. ; Kojima, Fumio

  • Author_Institution
    Graduate Sch. of Sci. & Technol., Kobe Univ.
  • fYear
    2006
  • Firstpage
    3537
  • Lastpage
    3542
  • Abstract
    This paper is concerned with a method to recover natural cracks from magnetic images obtained by ECT (eddy current testing). In the proposed method, a database is built to store knowledge base of cracks with different sizes and various measurement parameters. In the proposed inverse analysis, Greedy search algorithm invokes knowledge from pre-built database to reconstruct multiple cracks from ECT signals. For the purpose of computational saving in searching process, a parallel distributed computation system is designed. In this master-slave system, workloads of searching process are contributed to slaves for computation and the results are gathered, compared and displayed in a graphics user interface
  • Keywords
    cracks; eddy current testing; engineering information systems; greedy algorithms; image reconstruction; mechanical engineering computing; parallel processing; search problems; ECT database; crack shape recovery; eddy current testing; graphics user interface; greedy-search inverse analysis; knowledge base; magnetic images; master-slave system; natural cracks; parallel distributed computation system; Algorithm design and analysis; Concurrent computing; Distributed computing; Eddy current testing; Electrical capacitance tomography; Image databases; Magnetic analysis; Shape; Signal analysis; Size measurement; Database; Eddy Current Testing; Inverse Analysis; Nondestructive Evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE-ICASE, 2006. International Joint Conference
  • Conference_Location
    Busan
  • Print_ISBN
    89-950038-4-7
  • Electronic_ISBN
    89-950038-5-5
  • Type

    conf

  • DOI
    10.1109/SICE.2006.314695
  • Filename
    4108375