383 Process Monitoring and Fault Detection II

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
Co-Sponsor(s):
Computers in Operations and Information Processing (10C), Information Technology (10E)

Chair:
Jie Yu
Email: jieyu@mcmaster.ca

Co-Chair:
Jin Wang
Email: wang@auburn.edu


Papers:

3:15 PM
(383a) Actuator and Sensor Fault Isolation of Nonlinear Process Systems
Miao Du, James Scott and Prashant Mhaskar

3:35 PM
(383b) Dynamic Bayesian Network Based Networked Process Monitoring, Fault Propagation Identification and Root Cause Diagnosis
Junichi Mori and Jie Yu

3:55 PM
(383c) Sensor Placement for Maximizing Process Efficiency: An Algorithm and Its Application
Prokash Paul, Debangsu Bhattacharyya, Richard Turton and Stephen E. Zitney

4:15 PM
(383d) Feed Characteristics Dependent Control Parameter Estimation By Multivariate Analysis in Batch Processes
Ye Seul Sim, Joohyun Shin and Jay H. Lee

4:35 PM
(383e) Real Time Monitoring of Clean-In-Place (CIP) Operations in Manufacturing
Philip Jeng, Victor M. Saucedo, Dan Kendall, Ngoc-Anh Northrup, April Phillips, Domenic Schimizzi and Michael Milligan

4:55 PM
(383f) Real Time State Estimation of Froth Flotation Processes Using the Extended Kalman Filter and Image Processing
Khushaal Popli, Masih Sekhavat, Artin Afacan, Stevan Dubljevic, Qi Liu and Vinay Prasad

5:15 PM
(383g) On the Utility of the Iterated Kalman Filter for Constrained Importance Sampling in Sequential Monte Carlo State Estimation
Sridhar Ungarala
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