Intelligent Health Monitoring Systems for Space Missions Based on Data Mining Techniques

Abstract

Development of intelligent health monitoring system for artificial satellites is one of the important issue of aerospace engineering, in which determines the health state and failure prediction of satellites based on the telemetry data. Recent development in data mining techniques make it possible to examine satellite telemetry data and extract embedded information to produce advanced system health monitoring applications. This study presents a framework of the essential operations and applications of intelligent health monitoring systems which are being applied in the ground control station. Furthermore, this study reviews an extensive collection of existing health monitoring solutions and discusses them in a framework of telemetry data mining techniques. The work presented in this study can be used as a guideline for designing intelligent health monitoring solution based on telemetry data mining techniques.