Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft
This work targets spacecraft missions by discussing challenges and recommendations for machine learning diagnostic systems, but it is incremental as it focuses on outlining use cases rather than presenting new methods or results.
The paper addresses the need for new monitoring and diagnostic systems for spacecraft missions due to communication and resource limitations, proposing machine learning as a solution and outlining an example use case and recommendations for implementation.
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.