• DocumentCode
    1963180
  • Title

    ECT Characterization of the Extent of Minute Cracks using a Database Based Inversion Procedure

  • Author

    Rapacchi, S. ; Le Bihan, Y. ; Pávó, J. ; Marchand, C.

  • Author_Institution
    Lab. de Genie Electrique de Paris, CNRS-SUPELEC-UPS-UPMC, Gif-sur-Yvette
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    250
  • Lastpage
    250
  • Abstract
    A study on the characterization of minute cracks by using ECT probe signal is presented. The significant parameters of the ECT data are selected using PCA. The inversion is then achieved using a neural network trained with numerical data. Tests realized with experimental data show that the area of the cracks can be estimated with a fair level of accuracy
  • Keywords
    cracks; eddy current testing; electrical engineering computing; neural nets; principal component analysis; ECT; PCA; database based inversion procedure; minute cracks; neural network; probe signal; Aerospace industry; Databases; Electrical capacitance tomography; Frequency; Impedance; Neural networks; Principal component analysis; Probes; Shape; Uninterruptible power systems;
  • 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-06.2006.1633040
  • Filename
    1633040
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1963180