Prof. Wei Sun
College of Chemical Engineering,Beijing University of Chemical Technology,China
Title: Data-driven smart operation systems in process industry
Process monitoring and fault diagnosis based on data driven methods have attracted great attention from both academia and industry, but they are still facing serious challenges in industrial application. Simulated processes, i.e., Tennessee Eastman Process, are usually discussed in literature as benchmark cases, while they are relatively well defined and simplified compared with real industrial cases, which are far more diversified and impacted by random disturbance.
In this presentation, the conventional process monitoring and fault diagnosis methods are briefly introduced, followed by the challenges from industrial operation. Feature extraction is discussed based on cross correlation, auto correlation and spatial correlation. Monitoring strategy is addressed for multiple operation state based on historical data. Causal reasoning based on mutual information analysis is obtained for fault diagnosis. An on line monitoring system is then integrated with auto-data communication with DCS system and accessible to end users with different authorization levels.
Ph.D. Chemical Engineering 2001 University of California, Davis, CA, USA
M.S. Operational Research 1992 University of Science and Technology, Heifei, China
B.S. Chemical Engineering 1989 Tsinghua University, Beijing, China
2014 – current Professor, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing, China
2005 – 2014 Associate Professor, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing, China
2004 – 2005 Lecturer, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing, China
1992 – 1997 Lecturer, Department of Chemical Engineering, Tsinghua University, Beijing, China
CURRENT RESEARCH INTERESTS
Dynamics, Monitoring and optimization of Processes; Complex system analysis