This preliminary program is subject to change.

Process Monitoring and Fault Detection


Description:
The emphasis of this session is on the theory and applications of process monitoring and fault diagnosis in both batch and continuous processes. Contributions are sought in, but not limited to, the following areas: development of novel techniques or advances in existing techniques for fault detection, identification, and diagnosis in continuous and hybrid process systems; design of process monitoring systems for flexible manufacturing plants with multiple product recipes and various operating conditions; incorporation of process knowledge into fault detection, identification, and diagnosis; model maintenance (e.g., adaptive model, model update, etc.) and data pre-processing issues (e.g., out-lier detection, sensor validation, filtering, missing value estimation, etc.) for on-line applications. Industrial contributions and real-time case studies are encouraged.

Sponsor:
Systems and Process Control


Chair:
Nael H. El-Farra
Assistant Professor
University of California, Davis
Department of Chemical Engineering & Materials Science
One Shields Avenue
Davis, CA 95616
Phone Number: 530-754-6919
Fax Number: 530-752-1031
Email: nhelfarra@ucdavis.edu

Co-Chair:
Qinghua He

Papers:
A Safe-Parking Framework for Fault-Tolerant Control of Transport-Reaction Processes
Maaz Mahmood, McMaster University; Prashant Mhaskar, McMaster University
Actuator Fault Detection and Reconfiguration in Particulate Processes with Measurement Sampling Constraints
Sathyendra Ghantasala, University of California, Davis; Nael H. El-Farra, University of California, Davis
Fault Detection and Isolation in Nonlinear Hybrid Process Systems
Ye Hu, University of California, Davis; Nael H. El-Farra, University of California, Davis
Fault Detection and Identification in Petrochemical Systems Using Unknown Input Observers and Input Reconstruction
Udo Schubert, Berlin Institute of Technology; Uwe Kruger, The Petroleum Institute; Harvey Arellano-Garcia, Berlin Institute of Technology; Guenter Wozny, Berlin Institute of Technology
Parity Space Based Fault Detection Schemes Using Subspace Approaches
J. Mina, University of Southern California; Carlos Alcala, University of Southern California; S. Joe Qin, University of Southern California
Multi-Scale Structure Resolution of AE Signals and Its Application to Early Agglomeration Detection in HSBR
Yijun He, Department of Chemical and Biochemical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China; Jingdai Wang, Department of Chemical and Biochemical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China; Yongrong Yang, Department of Chemical and Biochemical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China
Detection of Valve Stiction in Closed-Loop Nonlinear Systems Using Volterra and Stable AR Model Identification
Ulaganathan Nallasivam, Clarkson University; Babji Srinivasan, Texas Tech University; Raghunathan Rengaswamy, Texas Tech University
Efficient Breadth-First Tree Search Method for Nonlinear Sensor Network Design
Miguel J. Bagajewicz, University of Oklahoma; DuyQuang Nguyen, University of Oklahoma
A Bayesian Framework for Fault-Tolerant Control of Linear Systems
Kris R. E. Villez, Purdue University; Shankar Narasimhan, Indian Institute of Technology; Venkat Venkatasubramanian, Purdue University
See more of this Group/Topical: Computing and Systems Technology Division