Wei Shanbi, Associate Professor of Chongqing University, China
He received his Ph.D in control theory and control engineering from Chongqing University in 2009. He is currently Associate professor and doctoral supervisor of School of automation, Chongqing University.
Associate Professor Wei Shanbi mainly studies advanced control and fault diagnosis in manufacturing system. As a scientific leader in systems and control, he is an IEEE senior member, CCF Senior Member and CAA Member.
Associate Professor Wei Shanbi has made original contributions to system safety and fault diagnosis. He has received more than 10 scientific programs and his works (over 20 papers) are published in famous journals. He co-authored a book on dynamic system safety.
He also owns 20 invention patents, some of which have been transferred through technology. He also won 10 provincial and ministerial science and technology awards.
Contact Information
Telephone: +86-23-65112173 +86-18623141079
Fax: +86-23-65112173
E-mail: weishanbi@cqu.edu.cn
Address: Room 2002 Main Building, Campus A, Chongqing University
No.174, Shapingba Centre Street, Shapingba District, Chongqing City 400030, P.R.China
Education
Ph.D., (Major in Control Theory and Control Engineering), Chongqing University, Chongqing, P.R.China, 2009.
MSE, (Majorr in Control Theory and Control Engineering), Chongqing University, Chongqing, P.R.China 2005.
B.S., (Major in Autamation), Chongqing University, Chongqing, P.R.China, 2003.
Academic Experience
Associate Professor, 1/2012- present, Chongqing University, Chongqing, P.R.China.
Research Interests
Advanced control, system fault self diagnosis
Publications
Part I – Books
[1] Dynamic System Operation Safety Analysis and Technology, Chemical Press, China, 2019
Part II – Referred Journal Papers (selected)
[1] Weishanbi,Using improved dynamic Bayesian networks in reliability evaluation for flexible test system of aerospace pyromechanical device products[J]. Reliability Engineering & System Safety, 2021, 210(1):107508.
[2] Weishanbi, An iterative learning scheme-based fault estimator design for nonlinear systems with quantised measurements, Journal of the Franklin, 2020, 357(1): 606-621
[3] Weishanbi, An Iterative Learning Scheme-Based Fault Estimator Design for Nonlinear Systems with Randomly Occurring Parameter Uncertainties, Complexity, 2018.11.1
Part III- Conference Papers
Over 10 Conference papers including Chinese Conference on Control and Decision (CCDC) , Chinese Control Conference (CCC), IEEE NN, etc.
Patents
Hold over 40 patents
Research Grants
Received over 10 research grants/awards