Required Data & Inputs
- Solar Array power generation data (Voltage, Current, Temperature, Orbital position/beta angle).
- Sensor telemetry logs
- Manufacturer data sheets and environmental radiation exposure models (e.g., Space Debris, UV, Atomic Oxygen, Total Ionizing Dose).
Objectives
- Build mathematical physics-based baseline models for solar cells or other sensors for prediction.
- Develop data-driven Machine Learning algorithms to capture non-linear, unpredictable degradation dynamics from orbital telemetry. Perform delta and uncertainty analysis
- Fuse physics-based models with real-time operational data to predict remaining useful life (RUL) for different sensors.
This thesis project is supervised by the CENSSS partner Jotne Connect.
Contact persons are Kjell.Bengtsson@jotne.com and aditya.gupta@jotne.com