Depth Evaluation in Pulsed Phase Thermography with Neural Network

  • Y. Largouët
  • A. Darabi
  • X. Maldague
Part of the Review of Progress in Quantitative Nondestructive Evaluation book series (RPQN, volume 18 A)


Pulsed phase thermography (PPT) was recently introduced [1] and up to now analysis of this infrared thermographie approach for non destructive evaluation has been limited to qualitative aspects. The study presented in this paper uses a neural network (NN) approach to extract quantitative information from PPT results. Phase behavior with frequency is first analyzed with a theoretical model which is of further interest to establish the NN architecture, finally results are presented.


Infrared Thermography Neural Network Architecture Sound Material Plastic Specimen Quantitative Nondestructive Evaluation 
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Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Y. Largouët
    • 1
  • A. Darabi
    • 1
  • X. Maldague
    • 1
  1. 1.Electrical and Computing Eng. DeptUniversité LavalQuebec CityCanada

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