A Tool for Prediction of Satellite Future States
Primavera Botelho de Souza, Mauricio Goncalves Vieira Ferreira, Josep Silva · Journal of Aerospace Computing Information and Communication · 2010
The prospect of multiple launches by National Institute for Space Research’s satellite program has motivated the development of an application using techniques based on artificial intelligence techniques for automatic generation of flight operation plans to control satellite activities. However, making a critical analysis of these plans before real-world implementation is not possible. We propose a different approach as part of a strategy to validate these plans. This will use a decision support tool based on machine learning concepts to generate prognosis of satellite states for assisting experts in evaluating the performance of the plan. To build the tool, a comparative study of performance between classic data mining classifiers is accomplished to determine the classification model that provides greater accuracy to predict satellite future states.