Preliminary Program subject to change
10C16 Process Monitoring and Fault Detection II
OverviewThe emphasis of this session is on theoretical and application studies related to fault detection and diagnosis for batch and continuous processes. Higher priority will be given to industrial contributions and real-time studies. Contributions are sought in, but not limited to, the following areas: Novel techniques or advances in existing techniques in fault detection, identification, and diagnosis. Process monitoring system for flexible manufacturing plants with multiple product recipes and various operating conditions. Incorporation of process knowledge into fault detection, identification, and diagnosis. Model maintenance issues (such as adaptive model, model update, etc.) for on-line applications Data pre-processing issues (such as outlier detection, sensor validation, filtering, missing value estimation, etc.) for on-line applications.
Primary SponsorComputers in Operations and Information Processing (10c)

Chair

Leo H. Chiang
The Dow Chemical Company
Corporate R&D
2301 Brazosport Blvd., B1463
Freeport, TX 77584
Phone Number: 979-238-5377
Fax Number: 979-238-0100
Email: HChiang@dow.com

CoChair

Jin Wang
Assistant Professor
Department of Chemical Engineering
Auburn University
Auburn, AL 36849
Phone Number: 334-844-2020
Fax Number: 334-844-2063
Email: wang@auburn.edu
Robust Performance-Based Fault Detection, Isolation And Compensation In Uncertain Particulate Processes
Arthi Giridhar, Department of Chemical Engineering and Materials Science, University of California, Davis, One Shields Avenue, Davis, CA 95616 and Nael H. El-Farra, Department of Chemical Engineering & Materials Science, University of California, Davis, One Shields Avenue, Davis, CA 95616
Diagonal Interactors And Adaptive Weighting For Mimo Control Performance Monitoring And Improvement
Jie Yu, Chemical Engineering, The University of Texas at Austin, 1 University Station C0400, Austin, TX 78712 and S. Joe Qin, Chemical Engineering and Material Sciences, University of Southern California, 925 Bloom Walk, HED 211, Los Angeles, CA 90089
Nonlinear Sensor Network Design and Upgrade for Optimal Monitoring
Miguel J. Bagajewicz, Chemical, Biological and Materials Engineering, University of Oklahoma, 100 E. Boyd St., T-335, Norman, OK 73019 and DuyQuang Nguyen, University of Oklahoma, 100 E. Boyd St., T-335, Norman, OK 73019
Nonlinear Diagonal Observers for Fault Diagnosis
Sridharakumar Narasimhan, Chemical Engineering, Norwegian Univeristy of Science and Technology, Sem Sælands vei 4, Trondheim, 7491, Norway and Raghunathan Rengaswamy, Chemical Engg. Dept., Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699
Observability Analysis Of Effective Medium Model And Its Application In Real-Time Sensing For Chemical Vapor Deposition
Rentian Xiong and Martha Gallivan, School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive, N.W., Atlanta, GA 30309
Optimal Sensor Location and State Estimation for Microreactors
Osamu Tonomura, Satoshi Nagahara, Manabu Kano and Shinji Hasebe, Chemical Engineering, Kyoto University, Kyoto, 615-8510, Japan

Computing and Systems Technology Division