Skip to Main Content

How to Get the Most Accurate Twins with Hybrid Digital Twins

Register today and discover Ansys Hybrid Analytics, a toolset for combining data and physics modeling using machine learning techniques for creating Hybrid Digital Twins. This webinar will highlight the methods to develop Hybrid Digital Twins that are more accurate and responsive.

Time:

October 20, 2022

11 AM EDT / 4 PM BST / 8:30 PM IST

Sign Up


This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

About this Webinar

Ansys Hybrid Analytics is a toolset for combining data and physics modeling using machine learning techniques to create Hybrid Digital Twins. Hybrid Digital Twins ingest field data to adapt to changing environmental and operational conditions.

The result is a dynamic Digital Twin that provides the best possible match to actual operating behavior. This webinar will highlight some machine learning techniques available to capture unmodeled physics in a system.

This allows users to compensate for unknown or inadequately modeled physics in a Digital Twin. The Hybrid Digital Twins will be more accurate and responsive, enabling more accurate virtual sensors and better predictive maintenance.

What You Will Learn

  • How to build a Hybrid Digital Twin using Hybrid Analytics
  • When Hybrid Digital Twins are needed
  •  What capabilities are available in the Hybrid Analytics toolset
  • How to build a residual model in Ansys Twin Deployer using Hybrid Analytics

Speakers

  • Matt Adams
  • Vitor Lopes 
flow rate