杜素果副教授


青岛海洋大学应用数学,学士; 南洋理工大学,硕士; Coventry University, 博士. Loughborough University, 博士后.

BSc, Ocean University of Qingdao, Applied Mathematics Department,
China.
MSc, Nanyang Technological University, Mathematics Division, Singapore.
PhD, Coventry University, Control Theory and Applications Centre, U.K.
Research Associate, Loughborough University,Aeronautical and Automotive Engineering Department, U.K.
Associate Professor, Shanghai Jiao Tong University, Asom Management School, Management Science and Engineering Department, China.


Research Interests:

Risk and Reliability Assessment, Fault Tree Analysis using Binary Decision Diagrams, Fault Detection for nonlinear system

Selected Publication:

1. L.M.Bartlett, S. Du ‘New Progressive Variable Ordering for Binary Decision Diagram Analysis of Fault Trees’ 2005, Quality and Reliability Engineering International Journal.

2. D.N.Shields, S. Du, ‘Fault detection observers for continuous non-linear polynomial systems of general degree’ published in International Journal of Control Vol. 76, No. 5, 437-452, 2003.

3. D.N.Shields, S. Du, ‘A Fault Detection Method for a Three Tank System’ published in Systems Science Vol.26, 2000, presented at the 14th International Conference on Systems Engineering (ICSE 2000), 486 ?C 491, held at Coventry University, Coventry, UK. Proc. ICSE 2000 (vol. 2), September 2000.

4. D.N.Shields, S. Du, ‘An Assessment of Fault Detection Methods for a Benchmark System’ presented at the 4th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 937 ?C 942, held at Budapest, Hungary. Proc. SAFEPROCESS ’2000, June 2000.

5. D.N.Shields, S.Du, E.Gaura, ‘Detecting Faults in a Hydraulic System Using Neural Network and Observer Approaches’, published in Systems Science Vol.28, n.1, 2002, presented at the 14th System Science Conference, held at Wroelaw, Poland, Vol 3, 192-199, September 2001.

受到国家自然基金资助的研究项目：

故障树分析中二元决策图底事件排序方法研究


应用统计，运筹学

Applied Statistics
operations research


　




联系方式
email: sgdu@sjtu.edu.cn
office: 0086-(0)21-52302055.