Deep RACE
Real-Time Reliability Modeling on IoT Edge Devices
Deep RACE (Deep Learning Reliability Awareness of Converters at the Edge) provides real-time reliability modeling for Si-MOSFET power electronics converters using LSTM networks on IoT edge devices.
Key Features
- LSTM/GRU-based real-time reliability prediction
- Scalable monitoring on IoT edge devices at 1.87W power budget
- NASA dataset for training and validation
- Stacked LSTM networks for time series analysis
Publication
M. Baharani, M. Biglarbegian, B. Parkhideh, and H. Tabkhi, “Real-Time Deep Learning at the Edge for Scalable Reliability Modeling of Si-MOSFET Power Electronics Converters,” IEEE Internet of Things Journal, vol. 6, no. 5, pp. 7644-7653, 2019. (74 citations)
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