Review on the Application of the Attention Mechanism in Sensing Information Processing for Dynamic Welding Processes

Author:

Xu Jingyuan1ORCID,Liu Qiang1ORCID,Xu Yuqing1,Xiao Runquan1,Hou Zhen1,Chen Shanben1

Affiliation:

1. Intelligentized Robotic Welding Technology Laboratory, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Abstract

Arc welding is the common method used in traditional welding, which constitutes the majority of total welding production. The traditional manual and manual teaching welding method has problems with high labor costs and limited efficiency when faced with mass production. With the advancement in technology, intelligent welding technology is expected to become a solution to this problem in the future. To achieve the intelligent welding process, modern sensing technology can be employed to effectively simulate the welder’s sensory perception and cognitive abilities. Recent studies have advanced the application of sensing technologies, leading to the advancement in intelligent welding process. The review is divided into two aspects. First, the theory and applications of various sensing technologies (visual, sound, arc, spectral signal, etc.) are summarized. Then, combined with the generalization of neural networks and attention mechanisms, the development trends in welding sensing information processing and modeling technology are discussed. Based on the existing research results, the feasibility, advantages, and development direction of attention mechanisms in the welding field are analyzed. In the end, a brief conclusion and remarks are presented.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials

Reference101 articles.

1. On intelligentized technologies for modern welding manufacturing;Chen;Chin. J. Mech. Eng. (Engl. Ed.),2003

2. Acquisition of weld seam dimensional position information for arc welding robot based on vision computing;Chen;J. Intell. Robot. Syst.,2005

3. On Intelligentized Welding Manufacturing;Chen;Robotic Welding, Intelligence and Automation, Proceedings of the 2014 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2014), Shanghai, China, 25–27 October 2014,2015

4. Chen, S.B., Wu, J., Chen, S.B., and Wu, J. (2009). Intelligentized Methodology for Arc Welding Dynamical Processes, Springer.

5. Intelligent methodology for sensing, modeling and control of pulsed GTAW: Part 1—Bead-on-plate welding;Chen;Weld. J. (USA),2000

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