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

Bibliographic Details
Parent link:Russian Journal of Nondestructive Testing
Vol. 44, iss. 7.— 2008.— [P. 509-516]
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Лаборатория №34 (Тепловых методов контроля)
Other Authors: Vavilov V. P. Vladimir Platonovich, Nesteruk D. A. Denis Alekseevich, Shiryaev V. V. Vladimir Vasilyevich, Swiderski W.
Summary: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
Language:English
Published: 2008
Subjects:
электронный ресурс
труды учёных ТПУ
Online Access:http://link.springer.com/article/10.1134/S1061830908070097
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=636957

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