Description
Digital twins (DTs) are similar to simulation models but with more advanced capabilities. Both reproduce the behavior of a real physical system. While simulation models are more generic and can include systems that do not (yet) exist, DTs typically map the behavior of an existing system based on acquired data through data-driven models or hybrid models. In addition to the functionality of conventional simulation tools, DT tools can synchronize the behavior of the real assets and simulated twin. The modeling of DTs encompasses multi-physics, multi-scale cloud-based modeling to consider all phenomena and couplings, whether exploring (typically in the design phase) or monitoring (typically during the operational phase) the system's functioning under realistic mission profiles and aging conditions. This tutorial will cover several aspects and concepts regarding the Digital Twins modeling in a modular approach. The tutorial will cover two different parts:Part I: Offline drivetrain component modeling and control design, offering iterative design and validation of solutions via the use of a DT platform, and accelerate time-to-market.
Part II: Online real-time condition monitoring and lifetime estimation techniques, ensuring the safe and reliable operation of drivetrain components by directly estimating their behavior and remaining Useful Lifetime (RUL) to support the vision on Reliability as a Service (RaaS).
| Period | 30 Sept 2024 |
|---|---|
| Event title | 21st IEEE International Power Electronics and Motion Control Conference |
| Event type | Conference |
| Location | Pilsen, Czech RepublicShow on map |
| Degree of Recognition | International |