Innovative Polyimide-Based Materials with Self-healing and Dust Mitigation Properties for Lunar Exploration Missions,

The increasing complexity and criticality of space avionics systems necessitate advanced fault detection, diagnosis, and recovery techniques. This research investigates the deployment of autonomous health monitoring (AHM) strategies in space avionics to enhance system reliability, reduce mission downtime, and improve overall safety. The proposed AHM framework leverages data-driven techniques to analyze properly processed telemetries, enabling anomaly detection and prediction. To overcome the challenges posed by resource-constrained hardware, efficient algorithms and optimized data processing methods are explored. By integrating anomaly detection capabilities into the AHM system, early warning of potential failures can be achieved, leading to more proactive maintenance and reduced mission risks. This study aims to develop practical solutions for the integration of AHM into future space avionics systems, considering the unique requirements and constraints of the space environment.