Detecting and Evaluating Water Ingress in Horizontally Oriented Aviation Honeycomb Panels by Using Automated Thermal Nondestructive Testing

Bibliographic Details
Parent link:	Russian Journal of Nondestructive Testing=Дефектоскопия.— .— New York: Springer Science+Business Media LLC. Vol. 59, iss. 12.— 2023.— P. 1272-1279
Other Authors:	Chulkov A. O. Arseniy Olegovich, Shagdyrov B. I. Bator Ilyich, Vavilov V. P. Vladimir Platonovich, Kladov D. Dmitry, Stasevsky V. I. Viktor Igorevich
Summary:	Title screen Results of applying active thermal nondestructive testing for the detection of water ingress in horizontally oriented aviation honeycomb panels and quantitative evaluation of water content are presented. Unlike ultrasonic inspection, thermal testing allows one to detect water and evaluate its quantity in the presence of air gaps between water and inspected honeycomb skin. The proposed algorithm based on using an artificial neural network has enabled estimating water content with errors under 15% in the cases where water contacts a honeycomb skin, as well as in the presence of air gaps between the skin and water Текстовый файл AM_Agreement
Published:	2023
Subjects:	thermal nondestructive testing honeycomb panel water ingress artificial neural network электронный ресурс труды учёных ТПУ
Online Access:	https://doi.org/10.1134/S1061830923600946 Статья на русском языке
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=679744

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