Review of magnetoelectric sensors

J Gao, Z Jiang, S Zhang, Z Mao, Y Shen, Z Chu - Actuators, 2021 - mdpi.com
Multiferroic magnetoelectric (ME) materials with the capability of coupling magnetization and
electric polarization have been providing diverse routes towards functional devices and thus …

Coplanar capacitive sensors and their applications in non-destructive evaluation: a review

M Mwelango, T Zhu, K Wen, Z Zhang… - Nondestructive …, 2023 - Taylor & Francis
Compared with conventional non-destructive evaluation (NDE) techniques, such as
radiography, ultrasound, magnetic particle inspection and eddy current, the coplanar …

Structural crack detection and recognition based on deep learning

C Yang, J Chen, Z Li, Y Huang - Applied sciences, 2021 - mdpi.com
The detection and recognition of surface cracks are of great significance for structural safety.
This paper is based on a deep-learning methodology to detect and recognize structural …

Crack identification and quantification methods under the condition of lift-off effect using alternating current field measurement technique

X Bian, W Li, X Yin, X Li, S **e, J Zhao, J Zhao… - … Systems and Signal …, 2024 - Elsevier
Alternating current field measurement (ACFM) technique is an emerging non-destructive
testing method for detecting cracks in conductive material. However, the existence of lift-off …

A machine learning method for detection of surface defects on ceramic tiles using convolutional neural networks

O Stephen, UJ Maduh, M Sain - Electronics, 2021 - mdpi.com
We propose a simple but effective convolutional neural network to learn the similarities
between closely related raw pixel images for feature representation extraction and …

High-speed rail defect detection using multi-frequency exciting 3D ACFM

P Xu, T Qian - Measurement, 2024 - Elsevier
High load wheel-rail friction leads to surface defects on the rail, which requires an accuracy
non-destructive testing (NDT) technology to prevent rail fracture and even major safety …

Low-power eddy current detection with 1-1 type magnetoelectric sensor for pipeline cracks monitoring

Z Chu, Z Jiang, Z Mao, Y Shen, J Gao… - Sensors and Actuators A …, 2021 - Elsevier
Pipeline systems, such as oil and natural gas pipelines, which are normally buried
underground or distributed under the sea, are susceptible to corrosion and pressure …

An end-to-end physics-informed neural network for defect identification and 3-D reconstruction using rotating alternating current field measurement

J Zhao, W Li, X Yin, X Li, Q Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The alternating current field measurement (ACFM) technique has been widely used in the
defect detection of metal structures. However, the identification and reconstruction of defects …

A magnetoelectric-ultrasonic multimodal system for synchronous NDE of surface and internal defects in metal

J Chang, Z Chu, X Gao, AI Soldatov, S Dong - Mechanical Systems and …, 2023 - Elsevier
In the field of non-destructive evaluation (NDE) of solid metal materials, it has been a
challenge to detect surface and internal defects simultaneously by using a single physical …

Deep learning activation layer-based wall quality recognition using Conv2D ResNet exponential transfer learning model

B Kim, Y Natarajan, SD Munisamy, A Rajendran… - Mathematics, 2022 - mdpi.com
Crack detection is essential for observing structural health and guaranteeing structural
safety. The manual crack and other damage detection process is time-consuming and …