Augmenting AI with Physics and Thermodynamics for High Fidelity Digital Twins
13 February 2024

Augmenting Ai With Physics And Thermodynamics For High Fidelity Digital Twins
content.jwplatform.com
by Dominic Gallello, Symphony Industrial AI
A methodology to build fit-for purpose anomaly and performance digital twins that are built using deep learning AI methods that works in tandem with a thermodynamic engine, failure library (FMEA) engine and recommendation advisory rule base. Result - better asset health.