Process Monitoring and Fault Detection I | AIChE

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Process Monitoring and Fault Detection I

Chair(s)

Wang, J., Auburn University

Co-chair(s)

Yu, J., McMaster 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
(325a) Closed-Loop Subspace Projection Based State-Space Model-Plant Mismatch Detection and Isolation for MIMO MPC Performance Monitoring
12:50 PM
(325b) On Monitoring of Economic Model Predictive Control Systems
1:10 PM
(325c) Identifying Noise Covariance Matrices From Industrial Datasets
1:30 PM
(325d) Visual Data Mining and Fault Detection in Radial Coordinates
1:50 PM
(325e) Constrained Parametric Estimation of Multivariate Probability Density Functions From Normal Operation Data and Its Application to Fault Detection
2:10 PM
(325f) Fault Detection and Isolation of Hybrid Process Systems Using a Combined Data-Driven and Observer-Design Methodology
2:30 PM
(325g) Evaluation of Dynamic Ica-Based Sensor Fault Validation Method of Indoor Air Pollutants Data On Energy Consumption of Ventilation System

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AIChE Explorer Members $225.00
Non-Members $225.00

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