Automatic Quantification of Subsurface Defects by Analyzing Laser Ultrasonic Signals Using Convolutional Neural Networks and Wavelet Transform-Reference-Cited by-同舟云学术

Automatic Quantification of Subsurface Defects by Analyzing Laser Ultrasonic Signals Using Convolutional Neural Networks and Wavelet Transform

Published:2021-10 Issue:10 Volume:68 Page:3216-3225
ISSN:0885-3010
Container-title:IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
language:
Short-container-title:IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

Author:

Guo Shifeng^ORCID,Feng Haowen^ORCID,Feng Wei,Lv Gaolong^ORCID,Chen Dan,Liu Yanjun^ORCID,Wu Xinyu^ORCID

Funder

National Natural Science Foundation of China

Joint Research Fund between the National Natural Science Foundation of China and Shenzhen

Joint Research Fund between the National Natural Science Foundation of China and Hebei Province

Department of Science and Technology of Guangdong Province

National Key Research and Development Program of China

Science and Technology Innovation Commission of Shenzhen

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Instrumentation

Link

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