OptiML PSE
OptiML PSE
Research
Bayesian Optimization
Data-Driven Optimization
Supply Chain Optimization
Reinforcement Learning
Statistical Learning
Large Language Models
Hybrid Modelling
Process Control
Deep Learning in Chemical Engineering
News
People
Publications
Learning Resources
Contact
monitoring
Hybrid data-driven and first principles monitoring applied to the Tennessee Eastman process
In this work we present a hybrid monitoring approach for fault detection using the Tennessee Eastman (TE) process. We benchmark our …
Eduardo Iraola
,
José M. Nougués
,
Dr. Ehecatl Antonio del Rio Chanona
,
Lluís Batet
,
Luis Sedano
Cite
DOI
URL
Cite
×