The Digital Twin is a methodology that leverages the complementary strengths of digital simulation (CAE) and measured in-service physical data (IIoT) to effectively resolve performance issues and predict behavior throughout a system’s lifecycle.
The digital twin is an integrated multi-physics, multi-scale set of simulations of an as-built system that uses the best available currently-correct digital models, sensor information, and input data to mirror and predict the activities and performance of the system over the life of its corresponding physical twin.
Learn more about Digital Twins HERE.
