A study on weld defects classification in gas metal arc welding process using machine learning techniques
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference30 articles.
1. B. Chan, J. Pacey, M. Bibby, “Modelling gas metal arc weld geometry using artificial Neural network Technology,” Canadian Metall. Quart. Vo1.38: 1, pp. 43-5 1, Jan. 1, 1999.
2. Li Di, Song Yonglun, Ye Feng, “Online Monitoring of Weld Defects For Short-circuit Gas Metal Arc Welding Based on the Self-organizing Feature Map Neural Networks,” Proceedings of the 2000 IEEE-INNS-ENNS International Joint conference on Neural Networks,Vol.5, pp. 239 -244,2000.
3. G.E. Cook, R.J. Bamett, K. Andersen, A.M. Strauss, “Weld Modelling and Control Using Artificial Neural Networks,” IEEE Transactions on Industry Applications, Vo1.31: 6 , pp.1484 -1491, Nov.-Dec. 1995.
4. C.S Wu, C.B. Jia, “Statistical characteristic for detecting weld penetration defects in gas–metal arc welding Institute for Materials Joining”, Shandong University, People’s Republic of China. Journal of Engineering Manufacture.vol 5 220: 793, 2005.
5. Modelling, optimization and classification of weld quality in tungsten inert gas welding;Tamg;Int. J. Mach. Tools Manuf.,1999
Cited by 19 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. A study on the monitoring of weld quality using XGBoost with Particle Swarm Optimization;Ain Shams Engineering Journal;2024-04
2. Digitalization of Welding Processes;Automation in Welding Industry;2024-02-05
3. Deep Learning Enriched Automation in Damage Detection for Sustainable Operation in Pipelines with Welding Defects under Varying Embedment Conditions;Computation;2023-11-02
4. Weld Quality Diagnosis of Gas Metal Arc Welding Based on Variational Mode Decomposition, Fuzzy Entropy, and Online Sequential Extreme Learning Machine;Journal of Materials Engineering and Performance;2023-09-27
5. Effects of Alternating Shielding Gases and post weld heat treatment on microstructure and mechanical properties of the GMA welded Joints of AA6061 Aluminium Alloy;2023-09-05
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