Industry 4.0 Digital Twin Modeling and Simulation for Maintenance and Reliability

Description

Expert lecture on Industry 4.0 digital twins for maintenance and reliability. Covers sensing, data engineering, asset semantics, physics and ML modeling, calibration, simulation, scenario testing, RUL estimation, operational integration, orchestration, governance, and ROI. Visual frameworks guide building and using twins to predict failures and de risk production changes before implementation, with a mini case study demonstrating impact.