2018 AIChE Annual Meeting

Session: Process Monitoring & Fault Detection

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.

Chair

Wang, Z., Dow Inc.

Co-Chair

Chmielewski, D. J., Illinois Institute of Technology

Presentations

03:30 PM

(584a) System Decomposition for Distributed Multivariate Statistical Process Monitoring

03:45 PM

(584b) Transfer Entropy-Based Dynamic Causal Maps Generation for Fault Diagnosis in Systems with Cycles

04:00 PM

(584c) Efficient Process Monitoring and Causality Analysis of Processes Via the Integrated Use of the Graphical Lasso and Markov Random Fields Modeling

04:15 PM

(584d) Transfer Learning Method for Chemical Plant Fault Diagnosis

04:30 PM

(584e) Multi-Class Classification of Process Faults Using Nonlinear Support Vector Machine Based Feature Selection Algorithm

04:45 PM

(584f) In Situ FT-IR Quantitative Analysis of Amine Concentration and CO2 Loading Amount in Mixture Solvent Using Deep Neural Network

05:00 PM

(584g) Deep Learning for Pyrolysis Reactor Monitoring: From Thermal Imaging Towards Smart Monitoring System

05:15 PM

(584h) Model-Based Stochastic Fault Detection and Diagnosis of Lithium-Ion Batteries

05:30 PM

(584i) Implementation of Model-Predictive Safety Systems to Detect Predictively Operation Hazards in Non-Minimum-Phase Processes