A fine-grained flexible graph convolution network for visual inspection of resistance spot welds using cross-domain features-Reference-Cited by-同舟云学术

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A fine-grained flexible graph convolution network for visual inspection of resistance spot welds using cross-domain features

Published:2022-06 Issue: Volume:78 Page:319-329
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Li Qiu,Yang Bo,Wang Shilong,Zhang Zhengping,Tang Xiaoli,Zhao Chunyang

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Reference37 articles.

1. Defect intelligent identification in resistance spot welding ultrasonic detection based on wavelet packet and neural network;Liu;Int J Adv Manuf Technol,2017

2. Ultrasonic non-destructive evaluation for spot welding in the automotive industry;Athi,2009

3. Online resistance spot weld NDE using infrared thermography;Chen;Proc SPIE Int SocOpt Eng,2017

4. A quality diagnosis method of GMAW based on improved empirical mode decomposition and extreme learning machine;Huang;JManufProcess,2020

5. Online quantitative evaluation of expulsion in resistance spot welding;Xia;JManufProcess,2019

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