Enhanced Infrared Image Processing for Impacted Carbon/Glass Fiber-Reinforced Composite Evaluation; Sensors; Vol. 18, iss. 1

Enhanced Infrared Image Processing for Impacted Carbon/Glass Fiber-Reinforced Composite Evaluation; Sensors; Vol. 18, iss. 1

Bibliographic Details
Parent link:Sensors
Vol. 18, iss. 1.— 2018.— [45, 13 p.]
Corporate Author: Национальный исследовательский Томский политехнический университет Исследовательская школа физики высокоэнергетических процессов
Other Authors: Zhang Hai, Avdelidis N. P. Nicolas, Osman A. Ahmad, Ibarra-Castanedo C. Clemente, Sfarra S. Stefano, Fernandes H. Henrique, Matikas T. E. Theodore, Maldague X. Xavier
Summary:Title screen
In this paper, an infrared pre-processing modality is presented. Different from a signal smoothing modality which only uses a polynomial fitting as the pre-processing method, the presented modality instead takes into account the low-order derivatives to pre-process the raw thermal data prior to applying the advanced post-processing techniques such as principal component thermography and pulsed phase thermography. Different cases were studied involving several defects in CFRPs and GFRPs for pulsed thermography and vibrothermography. Ultrasonic testing and signal-to-noise ratio analysis are used for the validation of the thermographic results. Finally, a verification that the presented modality can enhance the thermal image performance effectively is provided.
Language:English
Published: 2018
Subjects:
электронный ресурс
труды учёных ТПУ
infrared thermography
polynomial fitting
low-order derivative
composite
low-velocity impact
инфракрасная термография
композиты
углеродные волокна
дефекты
углепластики
Online Access:https://doi.org/10.3390/s18010045
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=667258

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