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.

中文翻译：

---

下一代机器学习支持的航天器诊断系统

由于通信僵局以及专业船员和设备的限制，未来的短期或长期太空任务需要新一代的监测和诊断系统。机器学习支持的诊断系统为医疗和技术应用提供了可行的解决方案。我们根据即将到来的任务讨论了此类系统的挑战和适用性，并概述了用于未来太空作战的下一代医疗诊断系统的示例用例。此外，我们提出了在航天器上成功生成和使用机器学习模型的方法建议和限制。