Citation: | CHEN Yuquan, GAO Xiangdong. Neural network compensation for micro-gap weld detection by magneto-optical imaging[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(10): 33-36. |
Gao X D, You D Y, Katayama S. Infrared image recognition for seam tracking monitoring during fiber laser welding[J]. Mechatronics, 2012, 22(4): 370-380.
|
Zeng Z, Liu X, Deng Y, U, et al. GL A parametric study of magneto-optic imaging using finite-element analysis applied to aircraft rivet site inspection[J]. IEEE Transactions on Magnetics, 2006, 42(11): 3737-3744.
|
刘公强, 乐志强. 磁光学[M]. 上海: 上海科学技术出版社, 2001.
|
高向东, 甄任贺. 微间隙焊缝磁光成像检测方法[J]. 焊接学报, 2014, 35(4): 11-14. Gao Xiangdong, Zhen Renhe. A method to detect micro weld joint based on magneto-optical imaging[J]. Transactions of the China Welding Institution, 2014, 35(4): 11-14.
|
黄健康, 张刚, 石玗. 基于动态模糊神经网络的铝合金脉冲MIG焊接过程解耦控制分析[J]. 焊接学报, 2013, 34(9): 43-47. Huang Jiankang, Zhang Gang, Shi Yu. Decoupling control analysis of aluminum alloy pulse MIG welding process based on dynamic fuzzy neural networks[J]. Transactions of the China Welding Institution, 2013, 34(9): 43-47.
|
杨建刚. 人工神经网络使用教程[M]. 杭州: 浙江大学出版社, 2001.
|
[1] | GAO Changlin, SONG Yanli, ZUO Hongzhou, ZHANG Cheng. Cause diagnosis of welding defects based on adaptive PSO-BP neural network with dynamic weighting[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2022, 43(1): 98-106. DOI: 10.12073/j.hjxb.20210515001 |
[2] | LUO Liuxiang, XING Yanfeng. CMT spot welding deformation of sheet metal based on BP neural network and genetic algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(4): 79-83. DOI: 10.12073/j.hjxb.2019400104 |
[3] | YANG Yachao, QUAN Huimin, DENG Linfeng, ZHAO Zhenxing. Prediction method of welding machine parameters based on neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(1): 32-36. DOI: 10.12073/j.hjxb.2018390008 |
[4] | GAO Xiangdong, ZHANG Chi, ZHOU Xiaohu. NN-KF of magneto-optical imaging for micro-gap seam tracking[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2017, 38(1): 9-12. |
[5] | LIU Lipeng, WANG Wei, DONG Peixin, WEI Yanhong. Mechanical properties predication system for welded joints based on neural network optimized by genetic algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (7): 105-108. |
[6] | DI Xinjie, LI Wushen, BAI Shiwu, LIU Fangming. Metal magnetic memory signal recognition by neural network for welding crack[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (3): 13-16. |
[7] | DONG Zhibo, WEI Yanhong, Zhan Xiaohong, WEI Yongqiang. Optimization of mechanical properties prediction models of welded joints combined neural network with genetic algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2007, (12): 69-72. |
[8] | WANG Yu, GAO Da-lu, LIAO Ming-fu, FENG Jing. A model of artificial neural network for optimizing technological parameter of friction welding of dissimilar material[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2005, (4): 33-36. |
[9] | LEI Yu cheng, LIU Wei, CHENG Xiao nong. BP Neural Network Predicting Model for Aluminium Alloy Keyhole Plasma Arc Welding in Vertical Position[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2002, (6): 41-43. |
[10] | Gao Xiangdong, Huang Shisheng, Wu Naiyou. Study on the Technique of Neural Network and Fuzzy Control for GTAW[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2000, (1): 5-8. |
1. |
刘倩雯,叶广文,马女杰,高向东. 焊接微缺陷磁光成像检测有限元分析. 精密成形工程. 2022(03): 94-101 .
![]() | |
2. |
田珠,桂志国,张鹏程,赵瑞祥,娄润东. Faster_RCNN用于工业火花塞图像焊缝缺陷检测. 测试技术学报. 2020(01): 34-40 .
![]() |