2023 AIChE Annual Meeting

Session: Process monitoring & fault detection I

Chair

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

Co-Chair

Xunyuan, Y., Nanyang Technological University

Presentations

12:30 PM

(487a) A Novel Loss Function for Key Process Variables Prediction of Chemical Process Fault Prognosis
Bai, Y., Zhao, J.

12:55 PM

(487b) High-Order Non-Stationary Information Extraction for Industrial Process Monitoring Using Multi-Cointegration
Ji, C., Rao, J., Wang, J., Sun, W., Romagnoli, J. A.

01:20 PM

(487c) Detecting Faults in Triplex Reciprocating Pumps with Synthetic Data Generated Using Simulink
Hacioglu, A., Gonuguntla, S., Gopinath, A.

01:45 PM

(487d) Handling Multiple Simultaneous Faults in Networked Process Control Systems Using a Data-Driven Methodology
Gajjar, A., El-Farra, N.

02:10 PM

(509g) Path-Sampling and Machine Learning for Rare Abnormal Events
Sudarshan, V., Seider, W., Patel, A. J., Arbogast, J. E., Oktem, U.

02:35 PM

(487f) Model-Based Fault Diagnosis for Safety-Critical Chemical Reactors: An Experimental Study
Du, P., Kravaris, C., Wilhite, B.