• DocumentCode
    1011830
  • Title

    Inversion of eddy-current data and the reconstruction of three-dimensional flaws

  • Author

    Sabbagh, H.A. ; Radecki, D.L. ; Barkeshli, S. ; Shamee, B. ; Treece, J.C. ; Jenkins, S.A.

  • Author_Institution
    Sabbagh Associates Inc., Bloomington, IN, USA
  • Volume
    26
  • Issue
    2
  • fYear
    1990
  • fDate
    3/1/1990 12:00:00 AM
  • Firstpage
    626
  • Lastpage
    629
  • Abstract
    Inverse scattering models of the type that is often used to invert eddy-current data are inherently nonlinear, because they involve the product of two unknowns, the flaw conductivity and the true electric field within the flaw. Computational inverse models, therefore, often linearize the problem by assuming that the electric field within the flaw is known a priori. In the present work, the authors describe such a linearized model; it is fully three-dimensional and applies to metals, such as stainless-steel, or to advanced composites, such as graphite-epoxy. The model is based on an integral equation that is then discretized by means of the method of moments. The measured data are inverted by means of the conjugate gradient algorithm. an example is shown in which a linear classifier algorithm is used to improve convergence of the conjugate gradient algorithm
  • Keywords
    eddy current testing; flaw detection; integral equations; inverse problems; numerical analysis; advanced composites; conjugate gradient algorithm; convergence; discretized; eddy current data inversion; eddy current testing; integral equation; inverse scattering models; linear classifier algorithm; linearized model; metals; method of moments; stainless-steel; three dimensional flaws reconstruction; Conductivity; Couplings; Current density; Green´s function methods; Integral equations; Inverse problems; Moment methods; Nonlinear equations; Region 1; Slabs;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.106395
  • Filename
    106395