An Infrared-Induced Terahertz Imaging Modality for Foreign Object Detection in a Lightweight Honeycomb Composite Structure; IEEE Transactions on Industrial Informatics; Vol. 14, iss. 12

An Infrared-Induced Terahertz Imaging Modality for Foreign Object Detection in a Lightweight Honeycomb Composite Structure; IEEE Transactions on Industrial Informatics; Vol. 14, iss. 12

Sonraí bibleagrafaíochta
Parent link:	IEEE Transactions on Industrial Informatics Vol. 14, iss. 12.— 2018.— [P. 5629-5636]
Údar corparáideach:	Национальный исследовательский Томский политехнический университет Инженерная школа неразрушающего контроля и безопасности Центр промышленной томографии Научно-производственная лаборатория "Тепловой контроль"
Rannpháirtithe:	Zhang Hai, Sfarra S. Stefano, Osman A. Ahmad, Szielasko K. Klaus, Stumm Ch. Christopher, Genest M. Mark, Maldague X. Xavier
Achoimre:	Title screen In this paper, terahertz time-domain spectroscopy (THz-TDS) is used for the first time to detect fabricated defects in a glass fiber-skinned lightweight honeycomb composite panel. A novel amplitude polynomial regression (APR) algorithm is proposed as a preprocessing method. This method segments the amplitude-frequency curves to simulate the heating and the cooling monotonic behavior as in infrared thermography. Then, the method of empirical orthogonal function (EOF) imaging is applied on the APR preprocessed data as a postprocessing algorithm. Signal-to-noise ratio analysis is performed to verify the image improvement of the proposed APR-EOF modality from a quantitative point of view. Finally, the experimental results and the physical analysis show that THz is more suitable with respect to the detection of defects in glass fiber lightweight honeycomb composites. Режим доступа: по договору с организацией-держателем ресурса
Teanga:	Béarla
Foilsithe / Cruthaithe:	2018
Ábhair:	труды учёных ТПУ электронный ресурс Empirical orthogonal function (EOF) fourier transform lightweight honeycomb polynomial fitting terahertz (THz) ортогональные функции преобразование Фурье полиномиальные алгоритмы
Rochtain ar líne:	https://doi.org/10.1109/TII.2018.2832244
Formáid:	Leictreonach Caibidil leabhair
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660066

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