杨振生
杨振生，1986年生，博士，副教授。主讲《机械制造技术基础》与《信号分析与处理》等本科生课程及《先进制造技术》等研究生课程。主要从事过程监测、信息处理、声发射理论与应用等领域的研究工作。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，参与教育部博士点基金、上海市科委、上海市发展改革委、临港新片区管委会等项目多项，发表论文二十余篇。
教学：
1. 《机械制造技术基础》（56学时，本科生课程）
2. 《信号分析与处理》（32学时，本科生课程）
3. 《先进制造技术》（32学时，研究生课程）
科研项目：
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
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
代表作：
1. CHEN.H.P, Xu H.D., Yang Z.S.*, A Novel Hybrid Method to Detect Arrival Times of Elastic Waves with Low SNR Based on Jensen-Shannon Divergence and Cumulative Sum Algorithm, IEEE Transactions on Instrumentation and Measurement, 2023.
2. LI H.D., YANG Z.S. *, YAN W., An improved AIC onset-time picking method based on regression convolutional neural network, Mechanical Systems & Signal Processing, 2022.
3. CHEN H.P., YANG Z.S. *, Arrival Picking of Acoustic Emission Signals Using a Hybrid Algorithm Based on AIC and Histogram Distance, IEEE Transactions on Instrumentation and Measurement, 2020.
4. YANG Z.S., YAN W., LI F., et al., Evaluating Onset Times of Acoustic Emission Signals Using Histogram Distances, IEEE Transactions on Industrial Electronics, 2020.
5. YANG Z.S., YAN W., JIN L., et al., A Novel Feature Representation Method Based on Original Waveforms for Acoustic Emission Signals, Mechanical Systems & Signal Processing, 2019.
6. LI F., YU Z.H., and YANG Z.S., Real-Time Distortion Monitoring During Fused Deposition Modeling via Acoustic Emission, Structural Health Monitoring, 2019.
7. YANG Z.S., WU H.X., YU Z.H., et al., 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., et al., 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.
联系方式：
电子邮箱：yangzs@shmtu.edu.cn