DocumentCode :
3777956
Title :
A fault diagnosis system design for space application
Author :
Sun Yuanyuan; Guo Lili; Ma Zhongsong
Author_Institution :
Engineering and Technology Center for Space Utilization, Chinese Academy of Sciences, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100094, China
Volume :
1
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
8
Lastpage :
12
Abstract :
With the development of Aerospace Engineering, space application system becomes more and more complex. In Chinese space station in the future, the number of payloads will reach more than one hundred. How to carry on effective management to the numerous and complex payloads, to find and eliminate payload fault in time is an urgent problem to be solved. This paper presents a method for the design of fault diagnosis system for complex payloads. Using task decomposition and integrated fault diagnosis method to solve the fault diagnosis problem of huge and complex system. At the same time, the application of SOM algorithm is discussed, it has certain guiding significance for the diagnosis and follow-up of application.
Keywords :
"Payloads","Fault diagnosis","Neurons","Space stations","Space vehicles","Biological neural networks","Aerospace electronics"
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments (ICEMI), 2015 12th IEEE International Conference on
Type :
conf
DOI :
10.1109/ICEMI.2015.7494176
Filename :
7494176
Link To Document :
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