Process monitoring & fault detection I | AIChE

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Process monitoring & fault detection I

Chair(s)

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

Co-chair(s)

Xunyuan, Y., 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

12:30 PM
(487a) A Novel Loss Function for Key Process Variables Prediction of Chemical Process Fault Prognosis
12:55 PM
(487b) High-Order Non-Stationary Information Extraction for Industrial Process Monitoring Using Multi-Cointegration
1:20 PM
(487c) Detecting Faults in Triplex Reciprocating Pumps with Synthetic Data Generated Using Simulink
1:45 PM
(487d) Handling Multiple Simultaneous Faults in Networked Process Control Systems Using a Data-Driven Methodology
2:10 PM
(509g) Path-Sampling and Machine Learning for Rare Abnormal Events
2:35 PM
(487f) Model-Based Fault Diagnosis for Safety-Critical Chemical Reactors: An Experimental Study

Topics 

Computing and Systems Engineering
Process Design & Development
Plant Operations

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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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