Depth Evaluation of Tiny Defects on or near Surface Based on Convolutional Neural Network

Depth Evaluation of Tiny Defects on or near Surface Based on Convolutional Neural Network

This paper proposes a method for the detection and depth assessment of tiny defects in or near surfaces by combining laser ultrasonics with convolutional neural networks (CNNs). The innovation in this study lies in several key aspects. Firstly, a comprehensive analysis of changes in ultrasonic signa...

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Bibliographic Details
Main Authors: Qinnan Fei, Jiancheng Cao, Wanli Xu, Linzhao Jiang, Jun Zhang, Hui Ding, Xiaohong Li, Jingli Yan
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
depth evaluation
tiny defect
laser ultrasonics
convolutional neural networks
Online Access:https://www.mdpi.com/2076-3417/13/20/11559

Internet

https://www.mdpi.com/2076-3417/13/20/11559

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