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

Jin Wang, Auburn University

Co-Chair

Jie Yu, 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
Jie Yu, Jingyan Chen, Pierre Carrette

12:50 PM

(325b) On Monitoring of Economic Model Predictive Control Systems
Matthew Ellis, Liangfeng Lao, Panagiotis Christofides

01:10 PM

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

01:30 PM

(325d) Visual Data Mining and Fault Detection in Radial Coordinates
Ray Wang, Michael Baldea, Thomas F. Edgar, Ricardo Dunia

01:50 PM

(325e) Constrained Parametric Estimation of Multivariate Probability Density Functions From Normal Operation Data and Its Application to Fault Detection
Taha Mohseni Ahooyi, Amogh Prabhu, Ulku Oktem, Warren Seider, Masoud Soroush

02:10 PM

(325f) Fault Detection and Isolation of Hybrid Process Systems Using a Combined Data-Driven and Observer-Design Methodology
Chudong Tong, Nael El-Farra, Ahmet Palazoglu

02:30 PM

(325g) Evaluation of Dynamic Ica-Based Sensor Fault Validation Method of Indoor Air Pollutants Data On Energy Consumption of Ventilation System
ChangKyoo Yoo, MinJeong Kim, JeongTai Kim