Application of Principal Component Analysis in Dynamic Thermal Testing Data Processing; Russian Journal of Nondestructive Testing; Vol. 44, iss. 7

Application of Principal Component Analysis in Dynamic Thermal Testing Data Processing; Russian Journal of Nondestructive Testing; Vol. 44, iss. 7

Dades bibliogràfiques
Parent link:Russian Journal of Nondestructive Testing
Vol. 44, iss. 7.— 2008.— [P. 509-516]
Autor corporatiu: Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Лаборатория №34 (Тепловых методов контроля)
Altres autors: Vavilov V. P. Vladimir Platonovich, Nesteruk D. A. Denis Alekseevich, Shiryaev V. V. Vladimir Vasilyevich, Swiderski W.
Sumari:Title screen
The principles and features of the application of statistical principal component analysis (PCA) in active thermal testing are considered. A comparison between PCA and Fourier analysis in finding defects in composite materials, detecting corrosion in aluminum, and determining moisture content in construction materials is performed. It is concluded that, generally, images of principal components increase the signal-to-noise ratio and are close in performance to phase diagrams; nevertheless, the results of this method are poorly predictable and require further analysis
Режим доступа: по договору с организацией-держателем ресурса
Idioma:anglès
Publicat: 2008
Matèries:
электронный ресурс
труды учёных ТПУ
Accés en línia:http://link.springer.com/article/10.1134/S1061830908070097
Format: Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=636957

Internet

http://link.springer.com/article/10.1134/S1061830908070097

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