2013 AIChE Annual Meeting

Session: Process Monitoring and Fault Detection I

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.

Chair

Wang, J., Auburn University

Co-Chair

Yu, J., McMaster University

Presentations

12:30 PM

(325a) Closed-Loop Subspace Projection Based State-Space Model-Plant Mismatch Detection and Isolation for MIMO MPC Performance Monitoring
Yu, J., Chen, J., Carrette, P.

12:50 PM

(325b) On Monitoring of Economic Model Predictive Control Systems
Ellis, M., Lao, L., Christofides, P.

01:10 PM

(325c) Identifying Noise Covariance Matrices From Industrial Datasets
Zagrobelny, M. A., Rawlings, J. B.

01:30 PM

(325d) Visual Data Mining and Fault Detection in Radial Coordinates
Wang, R., Baldea, M., Edgar, T. F., Dunia, R.

01:50 PM

(325e) Constrained Parametric Estimation of Multivariate Probability Density Functions From Normal Operation Data and Its Application to Fault Detection
Mohseni Ahooyi, T., Prabhu, A., Oktem, U., Seider, W., Soroush, M.

02:10 PM

(325f) Fault Detection and Isolation of Hybrid Process Systems Using a Combined Data-Driven and Observer-Design Methodology
Tong, C., El-Farra, N., Palazoglu, A.

02:30 PM

(325g) Evaluation of Dynamic Ica-Based Sensor Fault Validation Method of Indoor Air Pollutants Data On Energy Consumption of Ventilation System
Yoo, C., Kim, M., Kim, J.