Predictive Health Monitoring System for Space Electronics

This project is a Raspberry Pi–based system that monitors the health of an electronic setup using sensors that track temperature, voltage, and current in real time. It applies Python-based statistical analysis, including hypothesis testing and regression, to identify abnormal patterns and determine whether changes in conditions are significantly linked to system instability. The system then predicts potential failures and outputs a real-time “health score,” simulating how spacecraft electronics are monitored in real NASA missions.