Dr. Wu HY

Office Address

Room 507, Science and Technology Building.

Mailing Address

Mail Box 4, No. 15 Beisanhuan East Road, Chaoyang District, Beijing 100029, P.R. China

Email

wuhy@mail.buct.edu.cn

Phone


Research Interests

1. Modeling, optimization and control for complex system
2. Process monitoring, fault detection and diagnosis
3. Data Mining and analytics
4. Machine learning

Working/Education Experience

Ph.D. Control Theory and Control Engineering
Beijing University of Chemical Technology, Beijing, China, 2012
Advisor: Prof. Cao Liulin
M.E. Control Theory and Control Engineering
Beijing University of Chemical Technology, Beijing, China, 2004
Advisor: Prof. Cao Liulin
B.E. Industrial Automation
Beijing University of Chemical Technology, Beijing, China, 2001

Teaching Courses

1. Automatic Control Theory (I)
2. Fault Diagnosis in Process Industry

Projects

[1] Molecular weight distribution control research based on moments, National Natural Science Foundation, as principal investigator, 2015.1-2017.12
[2] Batch Polymerization Process Learning Control based on data and model fusion driven, National Natural Science Foundation, as participant, 2012.1-2015.12
[3] Fault Diagnosis and Control of Batch Process under the Unified Framework National Natural Science Foundation, as participant, 2016.1-2019.12
[4] Development of Yueyang Chemical Raw Material Pipeline Leakage Monitoring System Business commissioned, as principal investigator, 2013.8-2014.8

Publications

[1] Grey-box Modeling and Control of Polymer Molecular Weight Distribution using Orthogonal Polynomial Neural Networks, Journal of Process Control, 2012, 22: 1624-1636
[2] Novel signal denoising approach for acoustic leak detection, Journal of Pipeline Systems Engineering and Practice, 2018, 9(4):04018016
[3] A dual-sensor-based method to recognize pipeline leakage and interference signals, Journal of Loss Prevention in the Process Industries, 2015, 38:79-86
[4] Feature extraction and early warning of agglomeration in fluidized bed reactors based on an acoustic approach. Powder Technology, 2015, 279: 185–195
[5]管道泄漏信号和干扰信号的数字化判别方法, 石油学报, 2014, 35(6): 1197-1203
[6]利用输出反馈方法实现聚合物分子量分布的控制,化工学报, 2012, 63(9): 2836-2842
[7]基于灰箱模型的聚合反应分子量分布形状控制,吉大学报(工学版), 2011,41(S1): 288-292
[8]利用离散正交多项式组合神经网络建立聚合物分子量分布灰箱模型,化工学报,2009, 60(11): 2833-2837