A simple method for defect area detection using active thermography

• Autorzy: Dudzik S.
• Języki publikacji: EN

Abstrakty

EN

In this paper a simple method for defect area detection in the subsurface layer of materials was presented. The method uses active infrared thermography. A statistical detectivity ratio was introduced for a quantitative characterization of areas containing defects. The described algorithm of defect area detection was tested for a material with a low thermal diffusivity. The results of experimental and simulation investigations are presented. It was stated that the statistical detectivity ratio can be used to detect regions of defect presence, even for the non-uniformly heated surfaces.

Słowa kluczowe

EN

active thermography; non-destructive testing; defect detection algorithm

• Wydawca: Stowarzyszenie Elektryków Polskich ; Polska Akademia Nauk ; Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
• Czasopismo: Opto-Electronics Review
• Rocznik: 2009
• Tom: Vol. 17, No. 4
• Strony: 338--344
• Opis fizyczny: Bibliogr. 15 poz., wykr., il.

Twórcy

autor

Dudzik S.

• Institute of Electronics and Control Systems, Częstochowa University of Technology, 17 Armii Krajowej Ave., 42-200 Częstochowa, Poland,

Bibliografia

• [1] W. Minkina: Thermovision Measurements - Instruments and Methods. Publishing Office of Częstochowa University of Technology, Częstochowa, 2004. (in Polish)
• [2] Thermovision Measurements in Practice, edited by H. Madura, Measurement, Automation, Control Publishers, Warsaw, 2004. (in Polish)
• [3] B. Więcek, M. Felczak, K. Tomalczyk, B. Ostrowski, M. Lis, and T. Wajman: The application of thermography in the investigation of the buildings thermal insulation. Measurements, Automation, Control 51, 11, 2005. (in Polish)
• [4] A. Rogalski, Infrared Detectors, Gordon and Breach Science Publishers, Amsterdam, 2000.
• [5] S. Dudzik: Termolab - a digital measurement system for the thermal image processing, uses a universal matrix interface. Proc. 35 th Inter-University Conf. of Metrologists MKM'03, Cracow, 8-11 September, 95-98, 2003. (in Polish)
• [6] S. Dudzik: Calculation of the heat power consumption in the heat exchanger using artificial neural network. Proc. 9th Int. Conf. on Quantitative Infrared Thermography, Cracow, July 2-5, 55-60, 2008.
• [7] S. Dudzik and W. Minkina: The application of artificial neural network for calculation of heat power consumption using infrared system. Proc. 10th Int. Conf. on Infrared Sensors & Systems (IRS), Nürnberg, May 6-8, 317-321, 2008.
• [8] S. Dudzik and W. Minkina: The thermovision measurements as a source of data for the calculations of the radiator's heat power, using convective-radiation heat transfer model. Proc. 5th Nat. Conf. Thermography and Thermometry in Infrared, Ustroń-Jaszowiec, 14-16 November, 181-186, 2002. (in Polish)
• [9] S. Dudzik: Analysis of the influence of cross-correlation coefficient between the input variables of the measurement model on the uncertainty of the temperature determination by means an infrared camera. Proc. 37th Inter-University Conf. of Metrologists MKM'05, Zielona Góra, 5-7 September, 195-203, 2005. (in Polish)
• [10] W. Minkina and S. Dudzik: Simulation analysis of uncertainty of infrared camera measurement and processing path. Measurement 39, 758-763, 2006.
• [11] W. Minkina and S. Dudzik, Infrared Thermography: Errors and Uncertainties, Wiley-Blackwell (an imprint of John Wiley & Sons Ltd), Chichester (2009) - in press.
• [12] J. Fourier: Théorie du mouvement de la chaleur dans les corps solides-2 Partie. Mémoires de l'Academie des Sciences 5, 153, 1826.
• [13] X. P. Maldague, Theory and Practice of Infrared Technology for Nondestructive Testing, John Wiley & Sons Interscience, New York, 2001.
• [14] S. Vallerand and X. Maldague: Defect characterization in pulsed thermography: a statistical method compared with Kohonen and Perceptron neural networks. NDT&E International 33, 307-315, 2000.
• [15] J. C. Russ, Image Processing Handbook, CRC Press LLC, 2002.