[HTML][HTML] Machine learning algorithms for delaminations detection on composites panels by wave propagation signals analysis: Review, experiences and results

E Monaco, M Rautela, S Gopalakrishnan… - Progress in Aerospace …, 2024 - Elsevier
Performances are a key concern in aerospace vehicles, requiring safer structures with as
little consumption as possible. Composite materials replaced aluminum alloys even in …

A multimodal gated recurrent unit neural network model for damage assessment in CFRP composites based on Lamb waves and minimal sensing

L Zhuang, K Luo, Z Yang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Carbon fiber-reinforced polymer (CFRP) composites are widely used in aerospace due to
their outstanding mechanical properties. However, composite damage detection and …

Ultrasonic lamb wave damage detection of cfrp composites using the bayesian neural network

K Luo, J Zhu, Z Li, H Zhu, Y Li, R Hu, T Fan… - Journal of …, 2024 - Springer
Composite plates are susceptible to various damages in complex conditions and working
environments, which may reduce the reliability of the structure and threaten equipment and …

Baseline-free assisted lamb wave-based damage detection in CFRP composites using graph convolutional networks and Transformer models

Z Li, Y Li, J Lu, H Zhu, Y Zheng, J Xue, K Dong, Z Yang… - Measurement, 2025 - Elsevier
Carbon fiber-reinforced polymer (CFRP) composites are widely used in aerospace but are
susceptible to damage, threatening structural safety. Thus, develo** an effective structural …

[HTML][HTML] An adversarial transformer for anomalous lamb wave pattern detection

J Guo, S Zhang, N Amiri, L Yu, Y Wang - Neural Networks, 2025 - Elsevier
Lamb waves are widely used for defect detection in structural health monitoring, and various
methods are developed for Lamb wave data analysis. This paper presents an unsupervised …

Ultrasonic rough crack characterisation using time of flight diffraction with self-attention neural network

Z Wang, F Shi, J Ding, X Song - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Time-of-flight diffraction (ToFD) is a widely used ultrasonic nondestructive evaluation (NDE)
method for locating and characterizing rough defects, with high accuracy in sizing smooth …

Deep guided wave convolution neural network committee-based multi-path fusion diagnosis method for fatigue corner crack

J Chen, H **g, Y Meng, S Yuan - Journal of Intelligent …, 2025 - journals.sagepub.com
Accurate diagnosis of crack size is a critical task for guided wave (GW)-based structural
health monitoring (SHM). However, fatigue cracks would have complex morphology due to …

Validation of a ray-tracing-based guided Lamb wave propagation methodology in aerostructures

F Sánchez Iglesias, A García Serrano… - Structural Health …, 2024 - journals.sagepub.com
Accurate modeling of guided wave propagation is crucial for structural health monitoring
(SHM) systems, where a large amount of information and cases are needed to cover all in …

[HTML][HTML] A Lightweight Deep Learning Approach for Detecting External Intrusion Signals from Optical Fiber Sensing System Based on Temporal Efficient Residual …

Y Wang, Z Guo, H Luo, J Liu, R Zhou - Algorithms, 2025 - mdpi.com
Deep neural networks have been widely applied to fiber optic sensor systems, where the
detection of external intrusion in metro tunnels is a major challenge; thus, how to achieve the …

Adaptive Weighted Damage Imaging of Lamb Waves Based on Deep Learning

R Shen, Z Zhou, G Xu, S Zhang, C Xu, B Xu… - IEEE Access, 2024 - ieeexplore.ieee.org
The damage imaging method based on Lamb wave beamforming has been widely used in
the field of SHM. The DAS method has a high imaging efficiency, but its ability to suppress …