DMSS: Decision Management System for Safer Spacecrafts

Auteurs

O. Parisot, P. Pinheiro, and P. Hitzelberger

Référence

in International Conference on Ad-Hoc Networks and Wireless (ADHOC-NOW 2019): Ad-Hoc, Mobile, and Wireless Networks, Luxembourg, 1-3 October, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
vol. 11803 LNCS, p. 627-632, ISBN: 978-303031830-7, 2019

Description

The fast growing number of low earth orbit exploitation and deep space missions results in enormous volumes of telemetry data. In order to operate efficiently satellites constellations as well as spacecrafts, DMSS offers a self-learning visual platform for anomaly detection in telemetry data coming from embedded sensors. As use-case, the data of two space missions operated by the European Space Agency were analyzed: Mars Express and GAIA.

Lien

doi:10.1007/978-3-030-31831-4_46