A Reusable Fault Management Tool for Satellite Health Monitoring for NASA

ARADISS uses AI/ML and signal processing techniques to correlate battery current/voltage to system behavior (ex: a motor generating more torque draws more current from a battery ). Once the correlations are extracted, and ML models are trained, observing deviations from expected behavior can identify anomalies and faults in components that draw power from the battery.