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Nonlinear ultrasonic testing and data analytics for damage characterization: A review
Nondestructive testing and evaluation (NDT&E) are commonly used in the industry for their
ability to identify damage and assess material conditions. Ultrasonic testing (UT) is one of …
ability to identify damage and assess material conditions. Ultrasonic testing (UT) is one of …
Damage features for structural health monitoring based on ultrasonic Lamb waves: Evaluation criteria, survey of recent work and outlook
Guided Lamb waves are highly valued in structural health monitoring for identifying critical
damage. The essence of Lamb wave-based damage detection is finding and processing …
damage. The essence of Lamb wave-based damage detection is finding and processing …
[HTML][HTML] CNN-LSTM hybrid model to promote signal processing of ultrasonic guided lamb waves for damage detection in metallic pipelines
The ultrasonic guided lamb wave approach is an effective non-destructive testing (NDT)
method used for detecting localized mechanical damage, corrosion, and welding defects in …
method used for detecting localized mechanical damage, corrosion, and welding defects in …
[HTML][HTML] Composite panel damage classification based on guided waves and machine learning: an experimental approach
Ultrasonic guided waves (UGW) are widely used in structural health monitoring (SHM)
systems due to the sensitivity of their propagation mechanisms to local material changes, ie …
systems due to the sensitivity of their propagation mechanisms to local material changes, ie …
Lamb wave based damage detection in metallic plates using multi-headed 1-dimensional convolutional neural network
Lamb wave based damage diagnosis holds potential for real-time structural health
monitoring; however, analysing the Lamb wave response possess challenge due to its …
monitoring; however, analysing the Lamb wave response possess challenge due to its …
From data to insight, enhancing structural health monitoring using physics-informed machine learning and advanced data collection methods
Owing to recent advancements in sensor technology, data mining, Machine Learning (ML)
and cloud computation, Structural Health Monitoring (SHM) based on a data-driven …
and cloud computation, Structural Health Monitoring (SHM) based on a data-driven …
Guided wave-driven machine learning for damage classification with limited dataset in aluminum panel
The goal of this research study is to classify damages in an aluminum panel using ultrasonic-
guided waves (UGWs). The study is carried out on the premise that only a limited dataset …
guided waves (UGWs). The study is carried out on the premise that only a limited dataset …
A review of laser ultrasonic Lamb wave damage detection methods for thin-walled structures
S Zheng, Y Luo, C Xu, G Xu - Sensors, 2023 - mdpi.com
Thin-walled structures, like aircraft skins and ship shells, are often several meters in size but
only a few millimeters thick. By utilizing the laser ultrasonic Lamb wave detection method …
only a few millimeters thick. By utilizing the laser ultrasonic Lamb wave detection method …
Convolutional autoencoders and CGANs for unsupervised structural damage localization
The present work introduces two unsupervised data-driven methodologies for processing
Lamb waves (LWs) to localize structural damage, specifically employing convolutional …
Lamb waves (LWs) to localize structural damage, specifically employing convolutional …
[HTML][HTML] Pixel-level fatigue crack segmentation in large-scale images of steel structures using an encoder–decoder network
Fatigue cracks are critical types of damage in steel structures due to repeated loads and
distortion effects. Fatigue crack growth may lead to further structural failure and even induce …
distortion effects. Fatigue crack growth may lead to further structural failure and even induce …