Analysis of GMAW process with deep learning and machine learning techniques-Reference-Cited by-同舟云学术

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Analysis of GMAW process with deep learning and machine learning techniques

Published:2021-02 Issue: Volume:62 Page:695-703
ISSN:1526-6125
Container-title:Journal of Manufacturing Processes
language:en
Short-container-title:Journal of Manufacturing Processes

Author:

Thompson Martínez Rogfel,Alvarez Bestard Guillermo^ORCID,Martins Almeida Silva Alysson^ORCID,Absi Alfaro Sadek C.^ORCID

Publisher

Elsevier BV

Subject

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

Reference74 articles.

1. Modern welding technology;Cary,2005

2. Gas-metal arc welding;ASM,1994

3. Soldagem MIG/MAG: melhor entendimento, melhor desempenho;Scotti,2008

4. A real-time prediction model of electrode extension for GMAW;Bingul;IEEE/ASME Trans Mechatron,2006

5. Real-time weld process monitoring;Zhang,2008

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3. Defect monitoring of high-power laser-arc hybrid welding process based on an improved channel attention convolutional neural network;Journal of Intelligent Manufacturing;2024-04-23

4. Identification of MAG welding metal droplet transfer patterns based on features of input power;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2024-03-13

5. Influence of controlled and conventional short circuit waveforms on mechanical and microstructural effects in the gas metal arc welding processes;Case Studies in Thermal Engineering;2024-03

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