E3S Web Conf.
Volume 252, 20212021 International Conference on Power Grid System and Green Energy (PGSGE 2021)
|Number of page(s)||5|
|Section||Research and Development of Electrical Equipment and Energy Nuclear Power Devices|
|Published online||23 April 2021|
- Cheng Chong, Zhang Jinqiang, Dai Jie. Visual inspection system for stainless steel welds based on convolutional neural network [J]. Industrial control computer, 2019, 32(05): 51–52+55. [Google Scholar]
- Shi Yangjun. Application of 3D laser scanning technology in verticality detection of fan tower [J]. Mine surveying, 2019, 47(02): 110–115. [Google Scholar]
- Ji Shengpeng, Yan Zhihong. Visual inspection of TIG welding seam formation based on deep learning [J/OL]. Hot working process: 1–7[2020–11–07]. [Google Scholar]
- ZHAO Haiwen, ZHAO Yachuan, QI Xingyue, LI Feng. Research on Surface Defect Inspection Algorithms of Automobile Hub Based on Deep Learning [J]. Modular machine tool and automatic machining technology, 2019(11): 112–115. [Google Scholar]
- Qiao Li. Research and system design of workpiece defect detection method based on CNN [D]. Central China Normal University, 2016 [Google Scholar]
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