In this video, we explore how Artificial Intelligence is transforming the modeling and simulation of Induction Machines using Reduced-Order Modeling (ROM) techniques. Traditional high-fidelity simulations can be computationally expensive and time-consuming. By applying AI-powered ROM, engineers can:
✅ Achieve near real-time simulation results
✅ Maintain accuracy with significantly reduced computational load
✅ Enable rapid design iterations and system-level integration
✅ Leverage existing simulation data for fast predictive modeling
We demonstrate the workflow, benefits, and practical applications of using AI in building accurate and efficient ROMs tailored for Induction Machines—paving the way for smarter motor design, control, and optimization.
