Process monitoring & fault detection II | AIChE

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Process monitoring & fault detection II

Chair(s)

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

Co-chair(s)

Yin, X., Nanyang Technological University

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
(509a) Online Monitoring and Robust, Reliable Fault Detection and Diagnosis of Chemical Process Systems
3:55 PM
(509b) Unsupervised Incremental Learning Framework for Online Fault Diagnosis
4:20 PM
(509c) Graph Attention Based Self-Explanatory Fault Diagnosis in Chemical Process
4:45 PM
(509d) Deep Transfer Network with Multi-Channel Feature Extraction for Cross-Domain Chemical Process Fault Diagnosis
5:10 PM
(509e) Automated Parameter Selection for an Autoencoder for Use in Anomaly Detection
5:35 PM
(509f) A QR Decomposition Based Parity Space Fault Diagnosis Method for Systems with Numerous Faults

Topics 

Process Automation & Control
Computational Molecular Engineering
Process Safety

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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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