Aerodynamic Data Fusion Toward the Digital Twin Paradigm

What is it about?

An aircraft digital twin mirrors the operation of a flying aircraft which is constructed via physics-based and data-driven models. The digital twin offers real-time health monitoring and prediction of performance and failure probabilities. To realize this goal, one of the primary enablers is to fuse available historical data from experiments and simulations. This work proposes a novel method to fuse data from disparate sources while accounting for their uncertainties. After fusion the data is calibrated and can be used to construct accurate data-driven models for the digital twin.

Featured Image