Digital Twins for Predictive Maintenance of Rotating Machinery
Key idea:
Combine sensor data and simulation to predict faults before a motor, pump, or turbine fails.
- Compare physics-based and data-driven twin models
- Test vibration features for early bearing-fault detection
- Estimate maintenance cost and downtime savings