The research on Digital Twin technology focuses on creating virtual replicas
of physical entities or systems,
enabling real-time simulation, monitoring, and analysis to optimize performance, enhance
decision-making,
and improve system understanding. It emphasizes physics-based modeling for prognostics and machine
health management, aiming to enable fault diagnostics, failure prognostics, and predictive
maintenance,
thereby improving remaining useful life (RUL) estimation and overall system resilience.