Laser ultrasonics and machine learning for automatic defect detection in metallic components-Reference-Cited by-同舟云学术

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Laser ultrasonics and machine learning for automatic defect detection in metallic components

Published:2023-01 Issue: Volume:133 Page:102752
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

Lv Gaolong,Guo Shifeng,Chen Dan,Feng Haowen,Zhang Kaixing,Liu Yanjun,Feng Wei

Funder

Guangdong Science and Technology Department

Science, Technology and Innovation Commission of Shenzhen Municipality

Shenzhen Institutes of Advanced Technology Innovation Program for Excellent Young Researchers

Basic and Applied Basic Research Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science

Reference53 articles.

1. Defects identification using the improved ultrasonic measurement model and support vector machines;Xiao;NDT E Int,2020

2. Width gauging of surface slot using laser-generated Rayleigh waves;Wang;Opt Laser Technol,2017

3. Application of linear frequency modulated laser ultrasonic radar in reflective thickness and defect non-destructive testing;Huan;NDT E Int,2019

4. Finite element analysis of laser-generated ultrasound for characterizing surface-breaking cracks;Jeong;J Mech Sci Technol,2005

5. Surface crack identification on a cylinder using the signal enhancement of the scanning laser line source method;Liu;Appl Sci,2018

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