Eurekalert December 5, 2019
A team of researchers in the US ( UT Austin, MIT, industry) is working on Dynamic Data-Driven Application Systems (DDDAS), a project sponsored by the US Air Force, to develop a predictive digital twin for a custom-built UAV. The twin represents each component of the UAV, as well as its integrated whole. The twin also ingests on-board sensor data from the vehicle and integrates that information with the model to create real-time predictions of the health of the vehicle. They paired computational modeling is paired with machine learning to produce predictions that are reliable, and explainable. Digital twins are increasingly being developed for manufacturing, oil refineries, and Formula 1 race cars. Learning from data through the lens of models is the only way to make intractable problems practical…read more.
A digital twin is a digital replica of a physical entity. They enable data-driven decisions by modeling and predicting the status of that entity. CREDIT: Karen Willcox, UT Austin