Ultrasonic guided-waves sensors and integrated structural health monitoring systems for impact detection and localization: A review
L Capineri, A Bulletti - Sensors, 2021 - mdpi.com
This review article is focused on the analysis of the state of the art of sensors for guided
ultrasonic waves for the detection and localization of impacts for structural health monitoring …
ultrasonic waves for the detection and localization of impacts for structural health monitoring …
[HTML][HTML] A review of ultrasonic sensing and machine learning methods to monitor industrial processes
Supervised machine learning techniques are increasingly being combined with ultrasonic
sensor measurements owing to their strong performance. These techniques also offer …
sensor measurements owing to their strong performance. These techniques also offer …
Deep learning-based autonomous damage-sensitive feature extraction for impedance-based prestress monitoring
In the electromechanical impedance-based technique, the selection of proper impedance
features and frequency bands has played a significant role in enhancing the results of …
features and frequency bands has played a significant role in enhancing the results of …
Damage imaging in skin-stringer composite aircraft panel by ultrasonic-guided waves using deep learning with convolutional neural network
The detection and localization of structural damage in a stiffened skin-to-stringer composite
panel typical of modern aircraft construction can be addressed by ultrasonic-guided wave …
panel typical of modern aircraft construction can be addressed by ultrasonic-guided wave …
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 …
[HTML][HTML] Deep learning-based structural health monitoring
This article provides a comprehensive review of deep learning-based structural health
monitoring (DL-based SHM). It encompasses a broad spectrum of DL theories and …
monitoring (DL-based SHM). It encompasses a broad spectrum of DL theories and …
Development of a physics-informed doubly fed cross-residual deep neural network for high-precision magnetic flux leakage defect size estimation
Defect depth is an essential indicator in magnetic flux leakage (MFL) detection and
estimation. The quantification errors for defect depth are closely related to length and width …
estimation. The quantification errors for defect depth are closely related to length and width …
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 …
Causal dilated convolutional neural networks for automatic inspection of ultrasonic signals in non-destructive evaluation and structural health monitoring
This paper presents a deep learning network that performs automatic detection of defects by
inspecting full ultrasonic guided wave signals excited in plate structures. The findings show …
inspecting full ultrasonic guided wave signals excited in plate structures. The findings show …
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 …