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Machine Learning in Space: A Review of Machine Learning Algorithms and Hardware for Space Applications
Irish Conference on Artificial Intelligence and Cognitive Science
Modern satellite complexity is increasing, thus requiring bespoke and expensive on-board solutions to provide a Failure Detection, Isolation and Recovery (FDIR) function. Although FDIR is vital in ensuring the safety, autonomy, and availability of satellite systems in flight, there is a clear need in the space industry for a more adaptable, scalable, and cost-effective solution. This paper explores the current state of the art for machine learning error detection and prognostic algorithmsdblp:conf/aics/MurphyWN21 fatcat:dc3figzs7rbmtfi7t36htyrpc4