• DocumentCode
    1515398
  • Title

    Crack detection and recognition using an eddy current differential probe

  • Author

    Chady, T. ; Enokizono, M. ; Sikora, R.

  • Author_Institution
    Fac. of Eng., Oita Univ., Japan
  • Volume
    35
  • Issue
    3
  • fYear
    1999
  • fDate
    5/1/1999 12:00:00 AM
  • Firstpage
    1849
  • Lastpage
    1852
  • Abstract
    This paper proposes a new eddy current differential sensor and a system for multi-frequency testing of conducting plates. Precise crack imaging was achieved by the use of spectrograms obtained from an eddy-current probe multi-frequency response and application of a neural network. Results of experiments with test specimens made of SUS304 showing very good sensitivity and spatial resolution are presented. The possibility of detection of an opposite side 20% crack was also confirmed
  • Keywords
    crack detection; eddy current testing; image recognition; mechanical engineering computing; neural nets; SUS304; conducting plates; crack detection; crack recognition; eddy current differential probe; eddy current testing; flaw reconstruction; multi-frequency response; multi-frequency testing; neural network; opposite side 20% crack detection; precise crack imaging; sensitivity; spatial resolution; Coils; Eddy current testing; Eddy currents; IIR filters; Neural networks; Probes; Sensor systems; Signal processing; Signal processing algorithms; Spectrogram;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.767393
  • Filename
    767393