何银水

出生年月

1979年7月

学科方向

控制科学与工程

职 务

职 称

副教授  硕士导师

E-mail

heyingshui117@163.com

联系方式

heyingshui117@163.com

研究方向

机器人焊接智能化技术，包括机器视觉、模式识别、图像处理、智能控制与信号与处理等。

个人简介

1.2006-至今，南昌大学资源环境与化工学院工作；

2.2012-2016 上海交通大学攻读博士。

学术任职

与荣誉

中国焊接学会机器人与自动化专委会委员

成果获奖

获批国家自然科学基金一项；发表SCI/EI论文20余篇；申请发明专利10余项。

代

表

性

论

著

[1] HE Y, MA G, CHEN S. Autonomous Decision Making of Welding Position during Multipass GMAW with T-joints: A Bayesian Network Approach [J]. IEEE Transactions on Industrial Electronics, 2022, 69(4): 3909-3917.

[2] YINSHUI, HE, ZHUOHUA, YU, JIAN, LI, LESHENG, YU, GUOHONG, MA. Discerning Weld Seam Profiles from Strong Arc Background for the Robotic Automated Welding Process via Visual Attention Features [J]. Chinese Journal of Mechanical Engineering, 2020, v.33(01): 170-181.

[3] HE Y, LI D, PAN Z, MA G, YU L, YUAN H, LE J. Dynamic Modeling of Weld Bead Geometry Features in Thick Plate GMAW Based on Machine Vision and Learning [J]. Sensors, 2020, 20(24): 7104.

[4] YINSHUI H, ZHUOHUA Y, JIAN L, GUOHONG M, YANLIN X. Fault correction of algorithm implementation for intelligentized robotic multipass welding process based on finite state machines [J]. Robotics and Computer-Integrated Manufacturing, 2019, 59(OCT.): 28-35.

[5] HE Y, YU Z, LI J, MA G. Weld seam profile extraction using top-down visual attention and fault detection and diagnosis via EWMA for the stable robotic welding process [J]. The International Journal of Advanced Manufacturing Technology, 2019, 104(9): 3883-3897.

[6] MA G, YUAN H, YU L, HE Y*. Monitoring of weld defects of visual sensing assisted GMAW process with galvanized steel [J]. Materials and Manufacturing Processes, 2021, 36(10): 1178-1188.

[7] MA G, YU L, YUAN H, XIAO W, HE Y*. A vision-based method for lap weld defects monitoring of galvanized steel sheets using convolutional neural network [J]. Journal of Manufacturing Processes, 2021, 64(130-139.

[8] MA G, LI J, HE Y*, XIAO W. Weld Geometry Monitoring for Metal Inert Gas Welding Process with Galvanized Steel Plates Using Bayesian Network [J]. Journal of Shanghai Jiaotong University (Science), 2021, 26(2): 239-244.

[9] MA G, LIU J, YU L, HONG L, HE Y*. Numerical simulation of droplet transfer process in ultrasonic-assisted MIG welding [J]. Science and Technology of Welding and Joining, 2020, 25(3): 179-189.

[10] YU Z, HE Y*, XU Y, CHEN H. Vision-based deviation extraction for three-dimensional control in robotic welding with steel sheet [J]. The International Journal of Advanced Manufacturing Technology, 2018, 95(9): 4449-4458.

[11] HE Y, XU Y, CHEN Y, CHEN H, CHEN S. Weld seam profile detection and feature point extraction for multi-pass route planning based on visual attention model [J]. Robotics and Computer-Integrated Manufacturing, 2016, 37(251-261.

[12] HE Y, CHEN Y, XU Y, HUANG Y, CHEN S. Autonomous Detection of Weld Seam Profiles via a Model of Saliency-Based Visual Attention for Robotic Arc Welding [J]. Journal of Intelligent & Robotic Systems, 2016, 81(3-4): 395-406.

[13] HE Y, CHEN H, HUANG Y, DI W, CHEN S. Parameter Self-Optimizing Clustering for Autonomous Extraction of the Weld Seam Based on Orientation Saliency in Robotic MAG Welding [J]. Journal of Intelligent & Robotic Systems, 2016, 83(2): 219-237.