CNN-based classification of the laser assembly process for ultra-small batteries
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
https://link.springer.com/content/pdf/10.1007/s12206-023-2411-4.pdf
Reference27 articles.
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2. R. Miao et al., Online inspection of narrow overlap weld quality using two-stage convolution neural network image recognition, Machine Vision and Applications, 32 (2021) 1–14.
3. Y. Yang et al., A lightweight deep learning algorithm for inspection of laser welding defects on safety vent of power battery, Computers in industry, 123 (2020) 103306.
4. H. Zhang, X. Di and Y. Zhang, Real-time CU-net-based welding quality inspection algorithm in battery production, IEEE Transactions on Industrial Electronics, 67 (12) (2020) 10942–10950.
5. A. Tantrapiwat, Spot welding defect detection using synthetic image dataset on convolutional neural networks, 2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST), Pattaya, Thailand (2021) 16–19.
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