An Automated Practical Flaw-Identification Algorithm for Active Thermal Testing Procedures; Russian Journal of Nondestructive Testing; Vol. 54, iss. 4
| Parent link: | Russian Journal of Nondestructive Testing Vol. 54, iss. 4.— 2018.— [P. 278–282] |
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| Autor principal: | |
| Autor corporatiu: | , |
| Altres autors: | , |
| Sumari: | Title screen 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. Режим доступа: по договору с организацией-держателем ресурса |
| Idioma: | anglès |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://doi.org/10.1134/S1061830918040046 |
| Format: | Electrònic Capítol de llibre |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=658854 |
| Sumari: | Title screen 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. Режим доступа: по договору с организацией-держателем ресурса |
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| DOI: | 10.1134/S1061830918040046 |