Hybrid Analytics for Sim2real Models
This talk will cover methods to create fast and precise predictive models for industrial assets with limited data, useful for control design, XiL models, and digital twins.
Ansys donne les moyens à la prochaine génération d'ingénieurs
Les étudiants ont accès gratuitement à un logiciel de simulation de classe mondiale.
Concevez votre avenir
Connectez-vous à Ansys pour découvrir comment la simulation peut alimenter votre prochaine percée.
Les étudiants ont accès gratuitement à un logiciel de simulation de classe mondiale.
Connectez-vous à Ansys pour découvrir comment la simulation peut alimenter votre prochaine percée.
This talk will cover methods to create fast and precise predictive models for industrial assets with limited data, useful for control design, XiL models, and digital twins.
Date/Time:
February 17, 2026
11 AM EST
Venue:
Virtual
In this talk, we will describe methods to develop predictive and accurate models for industrial assets in the regime of small measurement data. These models are fast, precise, and valuable for plant models for control design, XiL models, and digital twins.
Models are built by using machine learning techniques that augment measurements with simulations to learn system behavior from limited data. We demonstrate that such hybrid models exhibit superior extrapolation and learning efficiency, as illustrated by relevant case studies.