A Through-Transmission Ultrasonic Method for the Detection of Ferrite Tile Defects
Author:
Affiliation:
1. Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
2. Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
Abstract
Funder
Tsinghua University Shenzhen International Graduate School Research Start-up Fund
Tsinghua University Shenzhen International Graduate School Interdisciplinary Research and Innovation Fund
Publisher
MDPI AG
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Link
https://www.mdpi.com/2076-3417/13/20/11172/pdf
Reference30 articles.
1. FFCNN: A Deep Neural Network for Surface Defect Detection of Magnetic Tile;Xie;IEEE Trans. Ind. Electron.,2020
2. Automatic classification of magnetic tiles internal defects based on acoustic resonance analysis;Huang;Mech. Syst. Signal Process.,2015
3. Multimodal Fusion Convolutional Neural Network With Cross-Attention Mechanism for Internal Defect Detection of Magnetic Tile;Lu;IEEE Access,2022
4. Wei, J., Zhu, P., Qian, X., and Zhu, S. (2019, January 9–10). One-stage object detection networks for inspecting the surface defects of magnetic tiles. Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques (IST), Abu Dhabi, United Arab Emirates.
5. Cao, X., Yao, B., Chen, B., and Wang, Y. (2020, January 6–8). Multi-defect detection for magnetic tile based on SE-U-Net. Proceedings of the 2020 IEEE International Symposium on Product Compliance Engineering-Asia (ISPCE-CN), Chongqing, China.
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