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)

Rashid, M., 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

12:30 PM
(614a) OASIS-P: Operable Adaptive Sparse Identification of Systems for Fault Prognosis of Chemical Processing System
12:45 PM
(614b) Health Monitoring of an Industrial Supercritical Pulverized Coal Boiler
1:00 PM
(614c) Remaining Useful Life Prediction for a Reciprocating Compressor By a Data-Driven Model Based on an Operation Condition-Corrected Health Indicator
1:15 PM
(614d) Hidden Markov Model Based Fault Diagnoser Using Binary Alarm Signals with Estimated Confidence Levels
1:30 PM
(614e) Machine Learning-Based Identification and Accommodation of Sensor Faults in Sampled-Data Process Systems
1:45 PM
(614f) Fault Detection and Isolation in Uncertain Dynamic Systems Using Sensor Fusion and Inferential Sensing
2:00 PM
(614g) Data-Driven Subsystem Configuration and Distributed Process Monitoring
2:15 PM
(614h) An Integrated Fault Diagnostic Fault Prognostic Approach for the Health Condition Monitoring of Degrading Systems

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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