2023 AIChE Annual Meeting

Session: Process monitoring & fault detection I

Chair

Ravendra Singh, Rutgers, The State University of New Jer

Co-Chair

Yin Xunyuan, Nanyang Technological University

Presentations

12:30 PM

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

12:55 PM

(487b) High-Order Non-Stationary Information Extraction for Industrial Process Monitoring Using Multi-Cointegration
Cheng Ji, Jingzhi Rao, Jingde Wang, Wei Sun, Jose A. Romagnoli

01:20 PM

(487c) Detecting Faults in Triplex Reciprocating Pumps with Synthetic Data Generated Using Simulink
Aycan Hacioglu, Spandhana Gonuguntla, Akhil Gopinath

01:45 PM

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

02:10 PM

(509g) Path-Sampling and Machine Learning for Rare Abnormal Events
Vikram Sudarshan, Warren Seider, Amish J. Patel, Jeffrey E. Arbogast, Ulku Oktem

02:35 PM

(487f) Model-Based Fault Diagnosis for Safety-Critical Chemical Reactors: An Experimental Study
Pu Du, Costas Kravaris, Benjamin Wilhite