523 Process Monitoring and Fault Detection I

Wednesday, November 19, 2014: 12:30 PM
404 - 405 (Hilton Atlanta)
Description:
We are interested in novel contributions concerning monitoring, fault detection and isolation in chemical, biochemical or biological processes. In addition, soft sensor or virtual metrology techniques are considered. Both data-driven and model-based approaches are welcome. Applications to industrial processes (both continuous and batch) are especially welcome.

Sponsor:
Systems and Process Control

Chair:
Joseph Scott
Email: jks9@clemson.edu

Co-Chair:
Q. Peter He
Email: qhe@mytu.tuskegee.edu

- indicates paper has an Extended Abstract file available on CD.

File available
12:30 PM
(523a) Visualization and Prediction of Operating Conditions of Blast Furnace
Koji Hazama, Koichi Fujiwara, Manabu Kano, Shinroku Matsuzaki and Akira Morita
File available
12:50 PM
(523b) A Feasible Generalized Least-Squares Approach to Disturbance Covariance Identification
Megan A. Zagrobelny and James B. Rawlings
File available
1:05 PM
(523c) Disturbance Covariance Identification Using Maximum Likelihood Estimation
Megan A. Zagrobelny and James B. Rawlings
File available
1:20 PM
(523d) Topological Preservation Techniques for Nonlinear Process Monitoring
Michael Thomas and Jose A. Romagnoli

1:40 PM
(523e) Actuator and Sensor Fault Isolation of a Styrene Polymerization Process
Hadi Shahnazari, James Scott and Prashant Mhaskar

2:00 PM
(523f) Efficient Polytopal Enclosures for the Reachable Set of Nonlinear Control Systems
Stuart Harwood and Paul Barton

2:20 PM
(523g) Data-Based Fault Identification and Accommodation in Sampled-Data Controlled Particulate Processes
Trina Napasindayao and Nael H. El-Farra

2:40 PM
(523h) Design of Sampled Data Nonlinear Observers for Processes Monitoring
Costas Kravaris
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