Get the Most Accurate Twins with Ansys Twin Deployer and Hybrid Analytics - ERP Spain.com - España y América Latina

A hybrid digital twin is a digital twin that combines both physics and data. In other words, hybrid digital twins don't rely on simulation or machine learning (ML) alone but use both methods to leverage all available knowledge about a system. Engineering informs a physics model, while data provides new insights to inform that model. The techniques and tools available to combine physics and data constitute a hybrid analytics toolset.

 

Hybrid analytics is a set of ML tools for combining physics and data differently. By making smarter choices in selecting your training data and ML techniques, you can open up new possibilities for your hybrid digital twin. One area where this is most evident is in fusion modeling, i.e., combining at least two different types of data to train an ML model.

 

 

Get the most accurate twins with hybrid digital twins

 

Discover different types of capabilities available in the hybrid analytics tool set

 

Fuse physics and data with fusion modeling