An information integration approach to spacecraft fault diagnosis

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.