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[HTML][HTML] Machine learning algorithms for delaminations detection on composites panels by wave propagation signals analysis: Review, experiences and results
Performances are a key concern in aerospace vehicles, requiring safer structures with as
little consumption as possible. Composite materials replaced aluminum alloys even in …
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
Carbon fiber-reinforced polymer (CFRP) composites are widely used in aerospace due to
their outstanding mechanical properties. However, composite damage detection and …
their outstanding mechanical properties. However, composite damage detection and …
Ultrasonic lamb wave damage detection of cfrp composites using the bayesian neural network
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 …
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
Carbon fiber-reinforced polymer (CFRP) composites are widely used in aerospace but are
susceptible to damage, threatening structural safety. Thus, develo** an effective structural …
susceptible to damage, threatening structural safety. Thus, develo** an effective structural …
[HTML][HTML] An adversarial transformer for anomalous lamb wave pattern detection
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 …
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
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 …
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 …
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 …
(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 …
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 …
the field of SHM. The DAS method has a high imaging efficiency, but its ability to suppress …