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An Automated Practical Flaw-Identification Algorithm for Active Thermal Testing Procedures

  • Thermal Methods
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Russian Journal of Nondestructive Testing Aims and scope Submit manuscript

Abstract

Results of analyzing the infrared thermograms of flawed carbon-, glass-fiber reinforced composites steel, and aluminum samples obtained in active thermal-testing procedures are described. The reproducibility of the results of testing conducted by thermography operators using manual and automated image-processing procedures has been evaluated. The advantage of an automated thermogram-analysis algorithm that halves the spread in informative parameters over manual data processing has been demonstrated.

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Authors and Affiliations

  1. Tomsk Polytechnic University, Tomsk, 634050, Russia

    A. O. Chulkov, V. P. Vavilov & D. A. Nesteruk

Authors
  1. A. O. Chulkov
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  2. V. P. Vavilov
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  3. D. A. Nesteruk
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Corresponding author

Correspondence to A. O. Chulkov.

Additional information

Original Russian Text © A.O. Chulkov, V.P. Vavilov, D.A. Nesteruk, 2018, published in Defektoskopiya, 2018, No. 4, pp. 49–53.

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Chulkov, A.O., Vavilov, V.P. & Nesteruk, D.A. An Automated Practical Flaw-Identification Algorithm for Active Thermal Testing Procedures. Russ J Nondestruct Test 54, 278–282 (2018). https://doi.org/10.1134/S1061830918040046

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  • DOI: https://doi.org/10.1134/S1061830918040046

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