何银水

个人信息

何银水

讲师

heyingshui117@163.com

江西省南昌市红谷滩区学府大道999号

教育背景

2012-2016 上海交通大学攻读博士

工作履历

2006-至今，菲律宾环球国际360资源环境与化工学院工作

学术与社会兼职

中国焊接学会机器人与自动化专委会委员

研究领域

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。

研究概况

讲授课程

无

奖励与荣誉

代表性成果

1.Y. He, Z. Yu, J. Li, L. Yu, G. Ma, “Discerning Weld Seam Profiles from Strong Arc Background for the Robotic Automated Welding Process via Visual Attention Features,” Chinese Journal of Mechanical Engineering, 2020, vol. 33, no. 1, pp. 21. (SCI)

2.Z. Yu, Y. He*, Y. Xu, and H. Chen, “Vision-based deviation extraction for three-dimensional control in robotic welding with steel sheet,” International Journal of Advanced Manufacturing Technology, 2018, vol. 95, no. 9-12, pp. 1-10. (SCI)

3.He Y, Chen Y, Xu Y, et al. “Autonomous Detection of Weld Seam Profiles via a Model of Saliency-Based Visual Attention for Robotic Arc Welding”. Journal of Intelligent & Robotic Systems, 2016, vol. 81, no. 3,pp. 395-406. (SCI)

4.He Y, Xu Y, Chen Y, et al. “Weld seam profile detection and feature point extraction for multi-pass route planning based on visual attention model”. Robotics and Computer-Integrated Manufacturing, 2015, vol. 37, pp. 251-261. (SCI)

5.Y. He, Z. Yu, J. Li, G. Ma, and Y. Xu, “Fault correction of algorithm implementation for intelligentized robotic multipass welding process based on finite state machines,” Robotics and Computer-Integrated Manufacturing, 2019, vol. 59, pp. 28-35. (SCI)

6.Y. He, Z. Yu, J. Li, and G. Ma, “Weld seam profile extraction using top-down visual attention and fault detection and diagnosis via EWMA for the stable robotic welding process,” The International Journal of Advanced Manufacturing Technology, 2019, vol. 104, no. 9, pp. 3883-3897. (SCI)

7.MA Guo-hong, LI Jian, HE Yin-shui* XIAO Wen-bo. “Weld Geometry Monitoring for Metal Inert Gas Welding Process with Galvanized Steel Plates Using Bayesian Network”, Journal of Shanghai Jiaotong University (Science), 2019.

8.He Y, Chen H, Huang Y, S. Chen, “Parameter Self-Optimizing Clustering for Autonomous Extraction of the Weld Seam Based on Orientation Saliency in Robotic MAG Welding,” Journal of Intelligent & Robotic Systems, 2016, vol. 83, no. 2. pp. 219-237. (SCI)

9.Y. Chen, Y. He, H. Chen, H. Zhang, and S. Chen, “Effect of weave frequency and amplitude on temperature field in weaving welding process,” The International Journal of Advanced Manufacturing Technology, 2014, vol. 75, no. 5, pp. 803-813. (SCI)

10.G. Ma, J. Liu, L. Yu, L. Hong, Y. He*, “Numerical simulation of droplet transfer process in ultrasonic-assisted MIG welding,” Science and Technology of Welding and Joining, 2020, vol. 25, no. 3, pp. 179-189. (SCI)