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