Multimode infrared thermal-wave imaging in non-destructive testing and evaluation (NDT&E): physical principles, modulated waveform, and excitation heat source

F Wang, J Sheng, S Sfarra, Y Zhou, L Xu, L Liu… - Infrared Physics & …, 2023 - Elsevier
Multimode Infrared thermal-wave imaging has the advantages of intuitive, efficient, large
detection area, non-contact, and long-distance detection respectively. It has a wide range of …

Tunnel crack detection with linear seam based on mixed attention and multiscale feature fusion

Q Zhou, Z Qu, YX Li, FR Ju - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Crack detection techniques have been rapidly developed in recent years due to the rise of
deep learning. However, existing methods struggle to produce accurate crack segmentation …

Metal crack detection sensor based on microstrip antenna

Q Pang, G Dong, X Yang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
A metal crack detection sensor based on a microstrip antenna is presented in this article to
detect cracks hidden under the coating. Since the frequency offset of the microstrip antenna …

A novel TMR based triaxial eddy current test probe for any orientation crack detection

G Betta, L Ferrigno, M Laracca, A Rasile… - Measurement, 2021 - Elsevier
The paper proposes the development, the analysis, and the experimental validation of a
novel probe for Eddy Current (EC) Non-Destructive Testing especially thought to warrant …

Lift-off invariant inductance of steels in multi-frequency eddy-current testing

M Lu, X Meng, R Huang, L Chen, A Peyton, W Yin - NDT & E International, 2021 - Elsevier
Eddy current testing can be used to interrogate steels but it is hampered by the lift-off
distance of the sensor. Previously, the lift-off point of intersection (LOI) feature has been …

A lightweight network for crack detection with split exchange convolution and multi-scale features fusion

Q Zhou, Z Qu, F Ju - IEEE Transactions on Intelligent Vehicles, 2022 - ieeexplore.ieee.org
Crack detection mostly benefits from the rapid development of Convolutional Neural
Networks (CNNs). However, the improvement of crack detection performance comes from …

Evaluation of coating thickness using lift-off insensitivity of eddy current sensor

X Meng, M Lu, W Yin, A Bennecer, KJ Kirk - Sensors, 2021 - mdpi.com
Defect detection in ferromagnetic substrates is often hampered by nonmagnetic coating
thickness variation when using conventional eddy current testing technique. The lift-off …

Scrap metal classification using magnetic induction spectroscopy and machine vision

KC Williams, MD O'Toole… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The need to recover and recycle material toward building a circular economy is increasingly
a global imperative. Nonferrous metals in particular are highly recyclable and can be …

A high-frequency phase feature for the measurement of magnetic permeability using eddy current sensor

M Lu, X Meng, R Huang, L Chen, A Peyton, W Yin - NDT & E International, 2021 - Elsevier
Electromagnetic sensing has been used for diverse applications of non-destructive testing,
including the surface inspection, measurement of properties, object characterization …

A novel magnetic flux leakage method based on the ferromagnetic lift-off layer with through groove

J Tang, R Wang, B Liu, Y Kang - Sensors and Actuators A: Physical, 2021 - Elsevier
In conventional magnetic flux leakage (MFL) detection, a lift-off layer based on air or non-
ferromagnetic wear-resistant material is employed to prevent magnetic sensors from …