Selected Publications
[1] Chen J， Wang T*， Gao X， et al. Real-time monitoring of high-power disk laser welding based on support vector machine[J]. Computers in Industry， 2018， 94: 75-81.
[2] Wang T， Chen J， Gao X， et al. Real-time monitoring for disk laser welding based on feature selection and SVM[J]. Applied Sciences， 2017， 7(9): 884.
[3] Wang T， Chen J， Gao X， et al. Quality monitoring for laser welding based on high-speed photography and support vector machine[J]. Applied Sciences， 2017， 7(3): 299.
[4] Teng W. Robust Reinforcement Learning Decoupling Control Based on Integral Quadratic Constraints[J]. Journal of Information and Computing Science， 2015， 10(2): 106-113.
Research Grants
[1] Guangdong Natural Science Foundation Youth Project - A New method for modeling the dynamic characteristics of metal vapor images in High power Laser Welding process (2014A030310153)
[2] National Natural Science Foundation of China Youth Science Fund Project - A new method based on modeling of photoinduced metal vapor transient characteristics in real-time monitoring system for high power laser welding is proposed (51505158) | 