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.

KEYWORDS:

• Spacecraft faults
• information integration
• whole life circle
• knowledge graph
• Function-Behaviour-Structure theory
• human-machine interface

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by The National Key R&D Plan of China [No. 2017YFF0209604, 2017YFB1400200, 2017YFB1400200], National Natural Science Foundation of China (NSFC) [No. 91646122, 91746202] and Social Science Planning Fund of Liaoning Province [L19BGL028].