Weld penetration identification with deep learning method based on auditory spectrum images of arc sounds
Author:
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/s40194-022-01373-7.pdf
Reference21 articles.
1. Xiao RQ, Xu YL, Hou Zh, Chen H, Chen SB (2019) An adaptive feature extraction algorithm for multiple typical seam tracking based on vision sensor in robotic arc welding. Sens Actuators A:Physical 297:111533. https://doi.org/10.1016/j.sna.2019.111533
2. Yang D, Wang G, Zhang G (2017) A comparative study of GMAW- and DE-GMAW-based additive manufacturing techniques: thermal behavior of the deposition process for thin-walled parts. Int J Adv Manuf Technol 91:2175–2184. https://doi.org/10.1007/s00170-016-9898-0
3. Huang J, Yang M, Chen J et al (2018) The oscillation of stationary weld pool surface in the GTA welding. J Mater Process Technol 256:57–68
4. Song S, Chen H, Lin T et al (2016) Penetration state recognition based on the double-sound-sources characteristic of VPPAW and hidden Markov Model. J Mater Process Technol 234:33–44. https://doi.org/10.1016/j.jmatprotec.2016.03.002
5. Zhang Z, Chen S (2017) Real-time seam penetration identification in arc welding based on fusion of sound, voltage and spectrum signals. J Intell Manuf 28:207–218. https://doi.org/10.1007/s10845-014-0971-y
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. Review on Welding Process Monitoring Based on Deep Learning using Time-Series Data;Journal of Welding and Joining;2024-08-31
2. Welding Penetration Monitoring for Ship Robotic GMAW Using Arc Sound Sensing Based on Improved Wavelet Denoising;Machines;2023-09-16
3. Analyzing Arc Welding Techniques improves Skill Level Assessment in Industrial Manufacturing Processes;Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments;2023-07-05
4. Deep learning based real-time and in-situ monitoring of weld penetration: Where we are and what are needed revolutionary solutions?;Journal of Manufacturing Processes;2023-05
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