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Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft

Authors :
Vlontzos, Athanasios
Sutherland, Gabriel
Ganju, Siddha
Soboczenski, Frank
Publication Year :
2021

Abstract

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.<br />Comment: Accepted in the AI for Spacecraft Longevity Workshop at IJCAI2021

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2106.05659
Document Type :
Working Paper