论文信息 - Depth Evaluation in Pulsed Phase Thermography with Neural Network

Depth Evaluation in Pulsed Phase Thermography with Neural Network

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.

Xavier Maldague | Akbar Darabi | Y. Largouët

[1] S. Marinetti,et al. Pulse phase infrared thermography , 1996 .

[2] Gerd Busse,et al. Nondestructive evaluation of polymer materials , 1994 .

[3] G. Busse,et al. Thermal wave imaging with phase sensitive modulated thermography , 1992 .

[4] D. P. Almond,et al. An artificial neural network interpreter for transient thermography image data , 1997 .

[5] Patricia A. Howell,et al. Application of artificial neural networks to thermal detection of disbonds , 1992 .

[6] Ermanno G. Grinzato,et al. Thermal NDE of delaminations in plastic materials by neural network processing , 1994 .

[7] Jane W. Maclachlan Spicer,et al. Time-resolved infrared radiometry of multilayer organic coatings using surface and subsurface heating , 1991, Defense, Security, and Sensing.

[8] S. Marinetti,et al. APPLICATIONS OF PULSE PHASE THERMOGRAPHY , 1997 .

[9] X. Maldague. Nondestructive Evaluation of Materials by Infrared Thermography , 1993 .

[10] F. Livingstone,et al. Review of progress in quantitative NDE: Williamsburg, VA, USA, 21–26 June 1987 , 1988 .