Recognition of GTAW weld penetration based on the lightweight model and transfer learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Recognition of GTAW weld penetration based on the lightweight model and transfer learning

Published:2022-10-10 Issue:1 Volume:67 Page:251-264
ISSN:0043-2288
Container-title:Welding in the World
language:en
Short-container-title:Weld World

Author:

Wang Zhenmin,Li Liuyi,Chen Haoyu,Lin Sanbao,Wu Jianwen,Ding Tao,Tian Jiyu^ORCID,Xu Mengjia

Funder

National Natural Science Foundation of China

State Key Laboratory of Advanced Welding and Joining

Shenzhen Technical Project

Science and Technology Planning Project of Guangdong Province

Guangdong Province Marine Economic Development (Six Major Marine Industries) Special Fund Project

Publisher

Springer Science and Business Media LLC

Subject

Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Link

https://link.springer.com/content/pdf/10.1007/s40194-022-01396-0.pdf

Reference35 articles.

1. Li C, Wang Q, Jiao W, M Johnson, Zhang YM (2020) Deep learning-based detection of penetration from weld pool reflection images. Weld J 99:239s–245s. https://doi.org/10.29391/2020.99.022

2. Peng G, Chang B, Wang G, Gao Y, Hou R, Wang S, Du D (2021) Vision sensing and feedback control of weld penetration in helium arc welding process. J Manuf Process 72:168–178. https://doi.org/10.1016/j.jmapro.2021.10.023

3. Liu Y, Zhang Y (2014) Dynamic control of 3D weld pool surface based on human response model. IFAC Proceedings Volumes 47:10640–10645

4. Nomura K, Fukushima K, Matsumura T, Asai S (2021) Burn-through prediction and weld depth estimation by deep learning model monitoring the molten pool in gas metal arc welding with gap fluctuation. J Manuf Process 61:590–600. https://doi.org/10.1016/j.jmapro.2020.10.019

5. Jiao W, Wang Q, Cheng Y, Zhang YM (2021) End-to-end prediction of weld penetration: a deep learning and transfer learning based method. J Manuf Process 63:191–197. https://doi.org/10.1016/j.jmapro.2020.01.044

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rapid inference for penetration prediction of plasma arc welding using enhanced ShuffleNetV2 and FOS-ELM;Welding in the World;2024-08-10

2. Online monitoring system for welding states of bottom-locking joints in high-speed trains via multi-information fusion and 3DCNN;Journal of Manufacturing Processes;2024-03

3. Towards a Zero-Defect in Welding: An Exploration of Factors to Improve the Training Data for Image Classification;Lecture Notes in Networks and Systems;2024

4. Penetration recognition based on machine learning in arc welding: a review;The International Journal of Advanced Manufacturing Technology;2023-02-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3