An information integration approach to spacecraft fault diagnosis. Issue 8 (14th September 2021)

• Record Type: Journal Article
• Authors: Shi, Hui-Bin; Huang, Dan; Wang, Li; Wu, Mei-Yu; Xu, Ying-Cheng; Zeng, Bao-Er; Pang, Chen
• Is Part Of: Enterprise information systems. Volume 15:Issue 8(2021)
• Page Start: 1128
• Page End: 1161
• Publication Date: 2021-09-14
• Subjects: Spacecraft faults -- information integration -- whole life circle -- knowledge graph -- Function-Behaviour-Structure theory -- human-machine interface; Information storage and retrieval systems -- Periodicals; Management information systems -- Periodicals; Electronic commerce -- Periodicals; 658.4038011
• DOI: 10.1080/17517575.2019.1709663
• Languages: English
• ISSNs: 1751-7575

Abstract

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.