Process Monitoring & Fault Detection | AIChE

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Process Monitoring & Fault Detection

Chair(s)

Wang, Z., Dow Inc.

Co-chair(s)

Chmielewski, D. J., Illinois Institute of Technology

This session seeks novel contributions in the broad areas of process monitoring, fault detection, isolation, estimation and accommodation in process systems. Both data-driven and model-based approaches are welcome. Applications to industrial processes are encouraged.

Presentations

3:30 PM
(584a) System Decomposition for Distributed Multivariate Statistical Process Monitoring
3:45 PM
(584b) Transfer Entropy-Based Dynamic Causal Maps Generation for Fault Diagnosis in Systems with Cycles
4:00 PM
(584c) Efficient Process Monitoring and Causality Analysis of Processes Via the Integrated Use of the Graphical Lasso and Markov Random Fields Modeling
4:15 PM
(584d) Transfer Learning Method for Chemical Plant Fault Diagnosis
4:30 PM
(584e) Multi-Class Classification of Process Faults Using Nonlinear Support Vector Machine Based Feature Selection Algorithm
4:45 PM
(584f) In Situ FT-IR Quantitative Analysis of Amine Concentration and CO2 Loading Amount in Mixture Solvent Using Deep Neural Network
5:00 PM
(584g) Deep Learning for Pyrolysis Reactor Monitoring: From Thermal Imaging Towards Smart Monitoring System
5:15 PM
(584h) Model-Based Stochastic Fault Detection and Diagnosis of Lithium-Ion Batteries
5:30 PM
(584i) Implementation of Model-Predictive Safety Systems to Detect Predictively Operation Hazards in Non-Minimum-Phase Processes

Topics 

Computing and Systems Engineering
Process Automation & Control
Process Knowledge Management

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Individuals

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

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