Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft
Vlontzos, Athanasios, Sutherland, Gabriel, Ganju, Siddha, Soboczenski, Frank
–arXiv.org Artificial Intelligence
Future short or long-term space missions require a new generation of monitoring and diagnostic systems due to communication impasses as well as limitations in specialized crew and equipment. Machine learning supported diagnostic systems present a viable solution for medical and technical applications. We discuss challenges and applicability of such systems in light of upcoming missions and outline an example use case for a next-generation medical diagnostic system for future space operations. Additionally, we present approach recommendations and constraints for the successful generation and use of machine learning models aboard a spacecraft.
arXiv.org Artificial Intelligence
Jun-10-2021
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