Building Operational Digital Twins for Improved Durability Prediction

Traditionally maintenance scheduling has been reactive leading to unnecessary costs and unexpected downtime. Predictive maintenance strategies can help companies be more proactive with their maintenance schedules. A digital twin that can provide timely insights about the state of health of the system is critical to such strategies. In this session you will learn about applying a reduced order model that is integrated with real time data for a true-Digital twins that can be predict damage and reduce unplanned downtime.