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

書誌詳細
Parent link:Russian Journal of Nondestructive Testing
Vol. 44, iss. 7.— 2008.— [P. 509-516]
団体著者: Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Лаборатория №34 (Тепловых методов контроля)
その他の著者: Vavilov V. P. Vladimir Platonovich, Nesteruk D. A. Denis Alekseevich, Shiryaev V. V. Vladimir Vasilyevich, Swiderski W.
要約: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
言語:英語
出版事項: 2008
主題:
электронный ресурс
труды учёных ТПУ
オンライン･アクセス:http://link.springer.com/article/10.1134/S1061830908070097
フォーマット: 電子媒体 図書の章
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=636957

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