Process Monitoring and Fault Detection I | AIChE

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Process Monitoring and Fault Detection I

Chair(s)

Scott, J., Georgia Institute of Technology

Co-chair(s)

He, Q. P., Auburn University

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.

Presentations

12:30 PM
(523a) Visualization and Prediction of Operating Conditions of Blast Furnace
12:50 PM
(523b) A Feasible Generalized Least-Squares Approach to Disturbance Covariance Identification
1:05 PM
(523c) Disturbance Covariance Identification Using Maximum Likelihood Estimation
1:20 PM
(523d) Topological Preservation Techniques for Nonlinear Process Monitoring
1:40 PM
(523e) Actuator and Sensor Fault Isolation of a Styrene Polymerization Process
2:00 PM
(523f) Efficient Polytopal Enclosures for the Reachable Set of Nonlinear Control Systems
2:20 PM
(523g) Data-Based Fault Identification and Accommodation in Sampled-Data Controlled Particulate Processes
2:40 PM
(523h) Design of Sampled Data Nonlinear Observers for Processes Monitoring

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AIChE Pro Members $150.00
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AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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