• DocumentCode
    2516987
  • Title

    A Strategy for Parametrization Refinement in the Solution of a Geometric Inverse Problem

  • Author

    Peters, Franciane Conceição ; da Silva Barra, Luis Paulo

  • Author_Institution
    Grad. Program on Comput. Modeling, Fed. Univ. of Juiz de Fora, Juiz de Fora, Brazil
  • fYear
    2009
  • fDate
    23-25 Nov. 2009
  • Firstpage
    136
  • Lastpage
    142
  • Abstract
    This paper treats the problem of identifying a single inclusion in a conductor domain based on the knowledge of measured electrical potentials on the external boundary of the conductor body due to known injected electrical currents. The inclusion boundary is approximated by an Extended X-Spline, that allows identify inclusions with smooth or sharp boundary. In this work, the forward problem is solved by an implementation of the direct formulation of the Boundary Element Method (BEM) and the inverse one is solved by Levenberg-Marquardt method, which requires the evaluation of the objective function derivatives, here approximated by finite differences. This work presents a methodology to increase the number of optimization variables during the solution of the inverse problem in order to improve the quality of the results.
  • Keywords
    conductors (electric); electric current measurement; finite difference methods; inclusions; splines (mathematics); voltage measurement; Levenberg-Marquardt method; boundary element method; electrical potential; extended X-spline; finite difference approximation; geometric inverse problem; inclusion boundary; injected electrical current; objective function derivative; parametrization refinement; single inclusion; Current measurement; Electric potential; Electrodes; Geometry; Minimization; Optimization; Shape; Boundary Element Method; Electrical Impedance Tomography; Levenberg-Marquardt Method; inverse problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Modeling (MCSUL), 2009 Third Southern Conference on
  • Conference_Location
    Rio Grande
  • Print_ISBN
    978-1-4244-5980-3
  • Type

    conf

  • DOI
    10.1109/MCSUL.2009.26
  • Filename
    5597974