• DocumentCode
    3676473
  • Title

    A learning-by-examples approach for non-destructive localization and characterization of defects through eddy current measurements

  • Author

    M. Salucci;G. Oliveri;F. Viani;R. Miorelli;C. Reboud;P. Calmon;A. Massa

  • Author_Institution
    ELEDIA Research Center, Department of Information Engineering and Computer Science, University of Trento, via Sommarive 9, 38123, Italy
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    900
  • Lastpage
    901
  • Abstract
    This work presents an innovative inversion method for non-destructive localization and characterization of defects based on a Learning-by-Example (LBE) approach. The qualitative imaging of the electromagnetic anomalies affecting a conductive structure is based on the exploitation of Eddy Current Testing (ECT) measurements through Support Vector Regression (SVR), enabling an evaluation of the structure under test almost in real-time. Some preliminary numerical results are shown in order to validate the effectiveness of the proposed method.
  • Keywords
    "Estimation","Eddy current testing","Support vector machines","Inspection","Inverse problems","Real-time systems","Noise measurement"
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2015 IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/APS.2015.7304837
  • Filename
    7304837