Monitoring of root gap change based on electrical signals of flux-cored arc welding using random convolution kernel transform
Author:
Affiliation:
1. Department of Mechanical Engineering, Hanyang University, Seoul, Republic of Korea
2. Fusion Research Center, The Korea Society for Welding & Quality Engineer, Seoul, Republic of Korea
Funder
Korea Evaluation Institute of Industrial Technology
KEIT
Korean government
MOTIE
Publisher
SAGE Publications
Subject
Condensed Matter Physics,General Materials Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/13621718.2023.2219081
Reference28 articles.
1. Prediction of the quality of pulsed metal inert gas welding using statistical parameters of arc signals in artificial neural network
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3. Control of droplet transfer using a filler-wire in tandem arc welding
4. Optimisation of hybrid tandem metal active gas welding using Gaussian process regression
5. Parameter Optimization of Hybrid-Tandem Gas Metal Arc Welding Using Analysis of Variance-Based Gaussian Process Regression
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