Full-time faculty

Department of Process Equipment and Control Engineering

He Yinshui

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Personal Information

He Yinshui

LecturerEmail: heyingshui117@163.com

No. 999 Xuefu Avenue, Honggutan District, Nanchang City, Jiangxi Province, P. R. China

Educational Background

2012 – 2016 Ph.D. Program, Shanghai Jiao Tong University

Work Experience

2006 – Present School of Resources, Environmental & Chemical Engineering, Nanchang University

Academic and Social Affiliations

Member, Committee on Robotics and Automation, China Welding Institution

Research Fields

Intelligent technologies for robotic welding, including machine vision, pattern recognition, image processing, intelligent control, and signal processing.

Research Overview

Courses Taught

None

Awards and Honors

None

Representative Achievements

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, 33(1): 21. (SCI)

2. Z. Yu, Y. He*, Y. Xu, H. Chen. Vision-based deviation extraction for three-dimensional control in robotic welding with steel sheet. International Journal of Advanced Manufacturing Technology, 2018, 95(9-12): 1-10. (SCI)

3. Y. He, Y. Chen, Y. Xu, 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, 81(3): 395-406. (SCI)

4. Y. He, Y. Xu, Y. Chen, 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, 37: 251-261. (SCI)

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

6. Y. He, Z. Yu, J. Li, G. Ma. Weld seam profile extraction using top-down visual attention and fault detection and diagnosis via EWMA for the stable robotic welding process. International Journal of Advanced Manufacturing Technology, 2019, 104(9): 3883-3897. (SCI)

7. G. H. Ma, J. Li, Y. S. He*, W. B. Xiao. Weld Geometry Monitoring for Metal Inert Gas Welding Process with Galvanized Steel Plates Using Bayesian Network. Journal of Shanghai Jiao Tong University (Science), 2019. (SCI)

8. Y. He, H. Chen, Y. Huang, 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, 83(2): 219-237. (SCI)

9. Y. Chen, Y. He, H. Chen, H. Zhang, S. Chen. Effect of weave frequency and amplitude on temperature field in weaving welding process. International Journal of Advanced Manufacturing Technology, 2014, 75(5): 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, 25(3): 179-189. (SCI)