Process Monitoring & Fault Detection | AIChE

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Process Monitoring & Fault Detection

Chair(s)

Singh, R., Rutgers, The State University of New Jer

Co-chair(s)

Ricardez-Sandoval, L., University of Waterloo

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

8:00 AM
(719a) Trend-Based Assessment of Industrial Rotating Equipment Health
8:15 AM
(719b) Dynamic Risk Assessment in Chemical Processes Using Sparse Identification and Deep Learning.
8:30 AM
(719c) Process and Controller Performance Monitoring Using Machine Learning Methods
8:45 AM
(719d) Optimal Actions Prescribed By Model-Predictive Safety
9:00 AM
(719e) Root Cause Analysis of Process Faults Using Penalized Piecewise Linear Multiple Birth Support Vector Machine (pPWL-MBSVM)
9:15 AM
(719g) Monitoring the Stress and Oxide Layer Evolution Profile in a Supercritical Pulverized Coal Boiler
9:30 AM
(719h) Statistics Pattern Analysis Based k-Nearest Neighbors (SPA-kNN) Fault Detection for Pressure Swing Adsorption Processes

Topics 

Computing and Systems Engineering

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Pricing

Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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