End-to-end prediction of weld penetration: A deep learning and transfer learning based method-Reference-Cited by-同舟云学术

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End-to-end prediction of weld penetration: A deep learning and transfer learning based method

Published:2021-03 Issue: Volume:63 Page:191-197
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Jiao Wenhua,Wang Qiyue^ORCID,Cheng Yongchao^ORCID,Zhang YuMing^ORCID

Publisher

Elsevier BV

Subject

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

Reference19 articles.

1. Model-based predictive control of weld penetration in gas tungsten arc welding;Liu;IEEE Trans Control Syst Technol,2014

2. Modeling of human welder response to 3D weld pool surface: part I - principles;Zhang;Weld J,2012

3. Modeling of human welder response to 3d weld pool surface: part II -results and analysis;Zhang;Weld J,2012

4. Control of 3D weld pool surface;Liu;Control Eng Pract,2013

5. Visual sensing and penetration control in aluminum alloy pulsed GTA welding;Fan;Int J Adv Manuf Technol,2009

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