Infrared machine vision and infrared thermography with deep learning: A review

Y He, B Deng, H Wang, L Cheng, K Zhou, S Cai… - Infrared physics & …, 2021 - Elsevier
Infrared imaging-based machine vision (IRMV) is the technology used to automatically
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …

Analysis of frontier digital technologies in continuing airworthiness management frameworks and applications

T Raoofi, S Yasar - Aircraft Engineering and Aerospace Technology, 2023 - emerald.com
Purpose This study aims to elaborate on the existing link between maintenance practices
and the digital world while also highlighting any unaddressed potential for digital …

[HTML][HTML] Modeling and classification of defects in CFRP laminates by thermal non-destructive testing

R Marani, D Palumbo, V Renò, U Galietti… - Composites Part B …, 2018 - Elsevier
Pulsed thermography has been used for many years to investigate the presence of
subsurface defects in composite materials for aeronautics. Several methods have been …

WDLS: Deep level set learning for weakly supervised aeroengine defect segmentation

H Qi, L Cheng, X Kong, J Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid development of the aviation industry, videoscope inspection of aeroengines
has become crucial for ensuring aircraft flight safety. Recently, deep learning, particularly …

Infrared thermography

C Ibarra-Castanedo, XPV Maldague - Handbook of technical diagnostics …, 2013 - Springer
Infrared thermography also commonly referred as thermal imaging, or simply thermography,
is a nondestructive testing (NDT) technique that has received vast and growing attention for …

Nondestructive health monitoring techniques for composite materials: A review

M Senthilkumar, TG Sreekanth… - Polymers and …, 2021 - journals.sagepub.com
Structural health monitoring is the process of acquisition and analyzing technical data
obtained from structures to determine the present condition of the structure and residual life …

A reliability study on automated defect assessment in optical pulsed thermography

S Xiang, AM Omer, M Li, D Yang, A Osman… - Infrared Physics & …, 2023 - Elsevier
Nowadays, the reliability of data analysis and decision-making based on deep learning (DL)
remains a primary concern in promoting DL technology for industrial non-destructive testing …

Enhancing defects characterization in pulsed thermography by noise reduction

R Marani, D Palumbo, U Galietti, E Stella… - NDT & E International, 2019 - Elsevier
In the field of NDT techniques for aeronautic components of composite materials, the
development of automatic and robust approaches for defect detection is largely desirable for …

[HTML][HTML] Mechanical damage assessment of Polymer–Matrix Composites using active infrared thermography

W Harizi, S Chaki, G Bourse, M Ourak - Composites Part B: Engineering, 2014 - Elsevier
The present work uses an active form of the infrared (IR) thermography technique for
monitoring and characterization of the damage of glass fibers reinforced Polymer–Matrix …

A contemporary approach to the MSE paradigm powered by Artificial Intelligence from a review focused on Polymer Matrix Composites

C Gomez, A Guardia, JL Mantari… - Mechanics of …, 2022 - Taylor & Francis
Artificial Intelligence (AI) is a broad discipline that uses powerful algorithms to emulate
important aspects of human intelligence. Provided by the Industry 4.0 revolution, AI is …