ABSTRACT

An important part of a rapid response to spacecraft faults is obtaining information efficiently and accurately determining the cause of the faults. The cause may originate from any stage in the life cycle. This study aims to integrate spacecraft information using fusion technologies to construct a whole life cycle knowledge graph. A human-computer interface for spacecraft rolling bearing fault diagnosis is designed according to Function-Behaviour-Structure theory. Thus, the whole process of fault diagnosis for spacecraft rolling bearings is demonstrated. This research realises the application of information integration in spacecraft fault diagnosis and improves fault response capabilities, thus ensuring spacecraft integrity.

摘要

快速响应航天器故障的一个重要部分是高效准确地获取信息，确定故障原因。原因可能来自生命周期的任何阶段。本研究旨在利用融合技术整合航天器信息，构建全生命周期知识图谱。根据功能-行为-结构理论设计了航天器滚动轴承故障诊断的人机界面。从而展示了航天器滚动轴承故障诊断的全过程。本研究实现了信息集成在航天器故障诊断中的应用，提高了故障响应能力，从而保证了航天器的完整性。