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Xiangdong Gao
Xiangdong Gao
在 gdut.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
WPD-PCA-based laser welding process monitoring and defects diagnosis by using FNN and SVM
D You, X Gao, S Katayama
IEEE Transactions on Industrial Electronics 62 (1), 628-636, 2014
2662014
Review of laser welding monitoring
DY You, XD Gao, S Katayama
Science and technology of welding and joining 19 (3), 181-201, 2014
2272014
Seam tracking monitoring based on adaptive Kalman filter embedded Elman neural network during high-power fiber laser welding
X Gao, D You, S Katayama
IEEE Transactions on Industrial Electronics 59 (11), 4315-4325, 2012
2012012
Weld appearance prediction with BP neural network improved by genetic algorithm during disk laser welding
Y Zhang, X Gao, S Katayama
Journal of Manufacturing Systems 34, 53-59, 2015
1872015
Welding defects detection based on deep learning with multiple optical sensors during disk laser welding of thick plates
Y Zhang, D You, X Gao, N Zhang, PP Gao
Journal of Manufacturing Systems 51, 87-94, 2019
1352019
Multisensor fusion system for monitoring high-power disk laser welding using support vector machine
D You, X Gao, S Katayama
IEEE Transactions on Industrial Informatics 10 (2), 1285-1295, 2014
1052014
Infrared image recognition for seam tracking monitoring during fiber laser welding
X Gao, D You, S Katayama
Mechatronics 22 (4), 370-380, 2012
942012
Monitoring of high-power laser welding using high-speed photographing and image processing
D You, X Gao, S Katayama
Mechanical Systems and Signal Processing 49 (1-2), 39-52, 2014
922014
Prediction of high power laser welding status based on PCA and SVM classification of multiple sensors
G Liu, X Gao, D You, N Zhang
Journal of Intelligent Manufacturing 30, 821-832, 2019
662019
Detection of weld pool width using infrared imaging during high-power fiber laser welding of type 304 austenitic stainless steel
Z Chen, X Gao
The International Journal of Advanced Manufacturing Technology 74, 1247-1254, 2014
662014
Kalman filtering compensated by radial basis function neural network for seam tracking of laser welding
X Gao, X Zhong, D You, S Katayama
IEEE Transactions on Control Systems Technology 21 (5), 1916-1923, 2012
622012
Research and prospect of welding monitoring technology based on machine vision
X Fan, X Gao, G Liu, N Ma, Y Zhang
The International Journal of Advanced Manufacturing Technology 115, 3365-3391, 2021
602021
Detection of weld position and seam tracking based on Kalman filtering of weld pool images
XD Gao, SJ Na
Journal of manufacturing systems 24 (1), 1-12, 2005
552005
Simulation and experiment for dynamics of laser welding keyhole and molten pool at different penetration status
Y Feng, X Gao, Y Zhang, C Peng, X Gui, Y Sun, X Xiao
The International Journal of Advanced Manufacturing Technology 112, 2301-2312, 2021
542021
Real-time monitoring of high-power disk laser welding statuses based on deep learning framework
Y Zhang, D You, X Gao, C Wang, Y Li, PP Gao
Journal of Intelligent Manufacturing 31, 799-814, 2020
532020
Online monitoring of welding status based on a DBN model during laser welding
Y Zhang, D You, X Gao, S Katayama
Engineering 5 (4), 671-678, 2019
532019
Visual-based spatter detection during high-power disk laser welding
D You, X Gao, S Katayama
Optics and Lasers in Engineering 54, 1-7, 2014
532014
Effect of joint gap on bead formation in laser butt welding of stainless steel
YX Zhang, SW Han, J Cheon, SJ Na, XD Gao
Journal of Materials Processing Technology 249, 274-284, 2017
522017
Multiple-optics sensing of high-brightness disk laser welding process
D You, X Gao, S Katayama
Ndt & E International 60, 32-39, 2013
522013
Monitoring of welding status by molten pool morphology during high-power disk laser welding
X Gao, Y Zhang
Optik-International Journal for Light and Electron Optics 126 (19), 1797-1802, 2015
492015
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