DocumentCode :
2841059
Title :
Software design for the fault diagnosis system of ATC based on neural networks
Author :
Liu, Liansheng ; Zhang, Jianfang
Author_Institution :
Basic Exp. Center, Civil Aviation Univ. of China, Tianjin, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
5231
Lastpage :
5233
Abstract :
Because of the limitation of the expert system which is based on the rule, this text proposes introducing the neural network technology into the fault diagnosis system. Then we recommend the frame and the principle of the expert system. And at last, we complete the simulation experiment which indicates the rationality of this design.
Keywords :
expert systems; fault diagnosis; neural nets; software engineering; expert system limitation; fault diagnosis system; neural networks; software design; Artificial intelligence; Artificial neural networks; Databases; Diagnostic expert systems; Expert systems; Fault diagnosis; Knowledge acquisition; Knowledge representation; Neural networks; Software design; BP Algorithm; Expert System; Fault Diagnosis; Neural Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5195037
Filename :
5195037
Link To Document :
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