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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Parent link:Sensors
Vol. 18, iss. 1.— 2018.— [45, 13 p.]
Συγγραφή απο Οργανισμό/Αρχή: Национальный исследовательский Томский политехнический университет Исследовательская школа физики высокоэнергетических процессов
Άλλοι συγγραφείς: 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
Περίληψη: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.
Γλώσσα:Αγγλικά
Έκδοση: 2018
Θέματα:
электронный ресурс
труды учёных ТПУ
infrared thermography
polynomial fitting
low-order derivative
composite
low-velocity impact
инфракрасная термография
композиты
углеродные волокна
дефекты
углепластики
Διαθέσιμο Online:https://doi.org/10.3390/s18010045
Μορφή: Ηλεκτρονική πηγή Κεφάλαιο βιβλίου
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=667258

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