Advancing Technology: An Approach to Convolutional Neutral Network in Automatic Welding Systems

DOI

10.2991/978-94-6463-864-6_19How to use a DOI?

Keywords

Convolutional Neural Network; Welding Automation; Precise Detection

Abstract

The application of Convolutional Neural Networks (CNN) in welding systems has played a key role in promoting automation improvements and technological implementation. The traditional welding process largely relies on manual operation and the experience of professionals, especially in defect detection, process control, and quality assessment. This study focuses on analyzing how CNN technology can improve the automation level in welding systems. By providing a detailed introduction to the basic working principle of CNN, several applications of optimization based on CNN in welding processes were classified, summarized, and analyzed, including image classification and analysis of welding defects, precise control in infrared cutting processes, data prepossessing for noise suppression and feature enhancement, and feature analysis of welds. After introducing CNN technology into these key links, welding automation has achieved higher detection accuracy, faster defect identification, and more reliable quality control, significantly improving manufacturing efficiency and product consistency. This article further explores the potential of intelligent solutions based on CNN in complex welding environments, providing reference for the development of future intelligent automated welding systems.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yutong Liu
PY  - 2025
DA  - 2025/10/23
TI  - Advancing Technology: An Approach to Convolutional Neutral Network in Automatic Welding Systems
BT  - Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)
PB  - Atlantis Press
SP  - 173
EP  - 182
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-864-6_19
DO  - 10.2991/978-94-6463-864-6_19
ID  - Liu2025
ER  -