• DocumentCode
    1968155
  • Title

    Swarm Optimization for Imaging of Corrosion by Impedance Measurements in Eddy Current Test

  • Author

    Cacciola, M. ; Calcagno, S. ; Morabito, F.C. ; Versaci, M.

  • Author_Institution
    Dept. of Inf., Mathematics, Electron. & Transp., Reggio Calabria Univ.
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    491
  • Lastpage
    491
  • Abstract
    Eddy current techniques (ECTs) for nondestructive testing and evaluation (NDT/NDE) of conducting materials is one of most application-oriented field of research within electromagnetics. In this work, quantitative nondestructive evaluation of corrosion in metallic plates is considered. The inspection method exploits impedance measurements to determine the material loss profile caused by corrosion. Considering the corrosion shape as an impedance measurements´ function, it has to be minimized in order to obtain the corrosion profile. Particularly, swarm intelligence, characterized by evolutionary computation, has been exploited for the purpose
  • Keywords
    corrosion testing; eddy current testing; electric impedance imaging; evolutionary computation; inspection; metals; particle swarm optimisation; plates (structures); application-oriented field; conducting materials; corrosion imaging; eddy current test; evolutionary computation; impedance measurements; inspection method; material loss profile; metallic plates; nondestructive testing; quantitative nondestructive evaluation; swarm intelligence; swarm optimization; Conducting materials; Corrosion; Eddy current testing; Eddy currents; Electrical capacitance tomography; Electromagnetic fields; Impedance measurement; Inspection; Nondestructive testing; Particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    1-4244-0320-0
  • Type

    conf

  • DOI
    10.1109/CEFC-06.2006.1633281
  • Filename
    1633281