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 :
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