DocumentCode
1731438
Title
Fault Diagnosis of Aerospace Electrical Equipment Based on Fuzzy Information Fusion
Author
Hongfeng, Wang ; Ganlin, Shan ; Lu, Gao
fYear
2007
Abstract
The complexity of modern aerospace electric equipment is higher than before, thus it cannot meet the need of speedy fault diagnosis to use single diagnosis pattern. Multi-resource information fusion is imported to the fault diagnosis of electronic equipment in this paper, use all stages information of multi-sensor and multiple information resource, adopt composite disposal, namely integrate the fusion of data, character and decision, and unite the fusion structure of distributed and integrated. The multi-resource fusion diagnosis structure and the fusion arithmetic are detailed. Finally, a computer simulation example is carried out; the simulation result shows that the method is effective and practical.
Keywords
aerospace instrumentation; aerospace testing; fault diagnosis; sensor fusion; aerospace electrical equipment; computer simulation; data fusion; fault diagnosis; fuzzy information fusion; multiple information resource; Aerospace electronics; Aerospace engineering; Circuit faults; Circuit simulation; Computational modeling; Computer simulation; Databases; Electronic equipment; Fault diagnosis; Instruments; aerospace electrical equipment; fault diagnosis; information fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-1136-8
Electronic_ISBN
978-1-4244-1136-8
Type
conf
DOI
10.1109/ICEMI.2007.4350988
Filename
4350988
Link To Document