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

Bibliografiske detaljer
Parent link:Russian Journal of Nondestructive Testing
Vol. 44, iss. 7.— 2008.— [P. 509-516]
Institution som forfatter: Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Лаборатория №34 (Тепловых методов контроля)
Andre forfattere: 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
Sprog:engelsk
Udgivet: 2008
Fag:
Online adgang:http://link.springer.com/article/10.1134/S1061830908070097
Format: Electronisk Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=636957

MARC

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320 |a [Ref.: p. 516 (7 tit.)] 
330 |a 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 
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701 1 |a Vavilov  |b V. P.  |c Specialist in the field of dosimetry and methodology of nondestructive testing (NDT)  |c Doctor of technical sciences (DSc), Professor of Tomsk Polytechnic University (TPU)  |f 1949-  |g Vladimir Platonovich  |3 (RuTPU)RU\TPU\pers\32161  |9 16163 
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