• DocumentCode
    23999
  • Title

    Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements

  • Author

    Priewald, Robin H. ; Magele, Christian ; Ledger, PaulD ; Pearson, Neil R. ; Mason, John S D

  • Author_Institution
    Coll. of Eng., Swansea Univ., Swansea, UK
  • Volume
    49
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    506
  • Lastpage
    516
  • Abstract
    This paper proposes a fast and effective method for reconstructing arbitrary defect profiles in steel plates from magnetic flux leakage (MFL) measurements widely used in nondestructive testing (NDT) of oil storage tanks and pipelines. The inverse reconstruction problem is formulated based on a nonlinear forward model using the finite element method (FEM) and is implemented in 2-D. A Gauss-Newton optimization is applied to reconstruct the defect geometry, using efficiently calculated Jacobian information directly derived from the FEM system matrix.
  • Keywords
    Jacobian matrices; Newton method; finite element analysis; magnetic variables measurement; nondestructive testing; optimisation; plates (structures); production engineering computing; reliability; signal reconstruction; steel; FEM system matrix; Gauss-Newton optimization; Jacobian information; MFL measurement; NDT; arbitrary defect profile reconstruction; defect geometry; fast magnetic flux leakage signal inversion; finite element method; inverse reconstruction problem; magnetic flux leakage measurement; nondestructive testing; nonlinear forward model; oil storage tank; pipeline; steel defect; Computational modeling; Finite element methods; Geometry; Jacobian matrices; Optimization; Steel; Vectors; Arbitrary defect reconstruction; finite element method (FEM); inverse problem; magnetic flux leakage (MFL); non destructive testing (NDT); steel corrosion sizing;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2012.2208119
  • Filename
    6237529