杨振生
杨振生，1986年2月生，博士，副教授。主要从事过程监测理论、信息处理与决策、供应链管理、自由贸易区与自由贸易港理论等方面的研究工作。近年来主持国家自然科学基金青年基金项目1项，主持上海市科委等省部级项目2项，参与国家自然科学基金、教育部博士点基金、上海市科委、上海市发改委等项目多项。
1. 过程监测
2. 信息处理与决策
3. 供应链管理
1. YANG Z.S., YAN W., JIN L., LI F., HOU Z.T., A novel feature representation method based on original waveforms for acoustic emission signals, Mechanical Systems & Signal Processing, 2019.
2. LI F., YU Z.H., YANG Z.S., Real-time distortion monitoring during fused deposition modeling via acoustic emission, Structural Health Monitoring, 2019.
3. YANG Z.S., Jin L., YAN Y.R.L., and MEI Y.M., Filament breakage monitoring in fused deposition modeling using acoustic emission technique, Sensors, 2018.
4. YANG Z.S., HUANG Y.F., WANG M.Z., YAN W., and YU Z.H., Laser-induced surface burn: a feasible approach for controlled production of thermal damage and its monitoring based on acoustic emission, Lasers in Engineering, 2016.
5. GU B.P., YANG Z.S.*, PAN L., and WEI W., Evolution of the microstructure, mechanical properties, and high-order modal characteristics of AISI 1045 steel subjected to a simulative environment of surface grinding burn, International Journal of Advanced Manufacturing Technology, 2016.
6. GU B.P., YANG Z.S.*, and PAN L., Numerical modeling and experimental study of microcrack detection in grinding burn using high order strain mode, International Journal of Advanced Manufacturing Technology, 2015.
7. YANG Z.S., WU H.X., YU Z.H., and HUANG Y.F., A non-destructive surface burn detection method of ferrous metals based on acoustic emission and ensemble empirical mode decomposition: from laser simulation to grinding process, Measurement Science and Technology, 2014.
8. YANG Z.S., YU Z.H., WU H.X., and HUANG Y.F., Laser-induced thermal damage detection in metallic materials via acoustic emission and ensemble empirical mode decomposition, Journal of Materials Processing Technology, 2014.
9. YANG Z.S., YU Z.H., and XIE C., Application of Hilbert-Huang transform to acoustic emission signals for burn feature extraction in surface grinding process, Measurement, 2014.
10. YANG Z.S. and YU Z.H., Experimental study of burn classification and prediction using indirect method in surface grinding of AISI 1045 steel, International Journal of Advanced Manufacturing Technology, 2013.
11. YANG, Z.S. and YU, Z.H., Grinding wheel wear monitoring based on wavelet analysis and support vector machine. International Journal of Advanced Manufacturing Technology, 2012.
1. 国家自然科学基金青年基金项目（51905335）：激光直接金属沉积成形过程的声发射在线监测方法，2020.1~2022.12（主持）
2. 上海市青年科技英才扬帆计划（17YF1407600）：基于声发射的熔融沉积成型3D打印状态监控理论与方法研究，2017.4~2020.3（主持）
电子邮箱：yangzs@shmtu.edu.cn