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Augmenting AI with Physics and Thermodynamics for High Fidelity Digital Twins

Augmenting AI with Physics and Thermodynamics for High Fidelity Digital Twins

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.

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