Damage detection in composites using non-destructive testing aided by ANN technique: A review

N Saha, P Roy, P Topdar - Journal of Thermoplastic …, 2023 - journals.sagepub.com
Damages are inevitable in structures and effective damage detection techniques are
important for maintaining their health. Many weight-sensitive engineering applications use …

[HTML][HTML] Automatic detection and identification of defects by deep learning algorithms from pulsed thermography data

Q Fang, C Ibarra-Castanedo, I Garrido, Y Duan… - Sensors, 2023 - mdpi.com
Infrared thermography (IRT), is one of the most interesting techniques to identify different
kinds of defects, such as delamination and damage existing for quality management of …

Automatic detection of CFRP subsurface defects via thermal signals in long pulse and lock-in thermography

X Cheng, P Chen, Z Wu, M Cech… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Thermography is widely used to detect delamination defects in carbon fiber-reinforced
plastics (CFRPs). This article proposes a model to detect defects automatically by extracting …

Pulsed thermography dataset for training deep learning models

Z Wei, A Osman, B Valeske, X Maldague - Applied Sciences, 2023 - mdpi.com
Pulsed thermography is an indispensable tool in the field of non-destructive evaluation.
However, the data generated by this technique can be challenging to analyze and require …

PHM-IRNET: Self-training thermal segmentation approach for thermographic inspection of industrial components

P Nooralishahi, RK Rezayiye, F López… - NDT & E …, 2023 - Elsevier
Automating thermographic analysis for industrial and construction inspection is one of the
essential aspects of NDT 4.0 in industrial transformation. Thermal segmentation is a …

A reliability study on automated defect assessment in optical pulsed thermography

S **ang, 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 …

Defect detection: an improved YOLOX network applied to a replica of “The Birth of Venus” by Botticelli

Z Zhang, H Zhang, J Hu, S Sfarra, M Mostacci… - Journal of Cultural …, 2023 - Elsevier
Early defects in artworks, which are unnoticeable by the naked eye, can evolve in severity if
left unattended; therefore, their timely and accurate detection is of vital importance. Infrared …

Automatic segmentation of microporous defects in composite film materials based on the improved attention U-Net module

Z Zhang, J Hu, R Wang, X Chen, D Yang… - Quantitative InfraRed …, 2024 - Taylor & Francis
Composite film materials offer several advantages, such as high strength-to-weight ratios,
flexibility, durability, or cost-effectiveness, which make them ideal for a wide range of …

Attention-enhanced U-Net for automatic crack detection in ancient murals using optical pulsed thermography

J Cui, N Tao, AM Omer, C Zhang, Q Zhang, Y Ma… - Journal of Cultural …, 2024 - Elsevier
Ancient mural degradation and destruction may result from various natural causes, resulting
in cracks, peeling, or bulging. As such, regular testing and evaluation of ancient murals are …

Automatic air-coupled ultrasound detection of impact damages in fiber-reinforced composites based on one-dimension deep learning models

Y Duan, T Shao, Y Tao, H Hu, B Han, J Cui… - Journal of …, 2023 - Springer
Impact damage constitutes a major threat to the performance and safety of fiber-reinforced
composites. In this regard, transmission air-coupled ultrasound inspection technology has …