
R-PODID
R-PODID project aims to develop an automated, cloudless, short-term fault-prediction for electric drives, power modules, and power devices, that can be integrated into power converters.
Project Objectives
- Developing a methodology for fault-prediction model generation from sparse training sets or system simulation
- Power electronics with integrated support for embedded AI
- 24 h fault-prediction for Gallium Nitride (GaN) and Silicon Carbide (SiC) based power converters
- 24 h fault-prediction and fault mitigation for electric drives
- Sensors for reliability prediction in power modules
Acknowledgement
R-PODID receives funding within the Key Digital Technologies Joint Undertaking (KDT JU) - the Public-Private Partnership for research, development and innovation under Horizon Europe – and National Authorities of Italy, Turkey, Portugal, The Netherlands, Czech Republic, Latvia, Greece, Germany, Austria, and Romania under grant agreement n° 101112338
Disclaimer: Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them.
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