DocumentCode :
550503
Title :
On intelligent fault diagnosis for equipment based on neural network and expert system
Author :
Cao Bo-wei ; Xue Qing ; Niu Jin-Tao ; Gong Chang-Hong ; Liu Lei
Author_Institution :
Simulation Center, Acad. of Armored Force Eng., Beijing, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
2707
Lastpage :
2710
Abstract :
Because at present so many equip category and new technique, a single kind method of simplicity fault diagnosis can not attain the purpose of the equipment diagnosis, this article firstly analyze and induced the basic principle, characteristics, design of diagnosing the method and applies realm of neural network and expert system, then build up an intelligent fault diagnosis system framework for Equipment based on the combination of the diagnosis method of neural network and expert system, finally provide a new way of thought for the intelligence of material.
Keywords :
equipment evaluation; expert systems; fault diagnosis; neural nets; equipment diagnosis; expert system; intelligent fault diagnosis system framework; neural network; Electronic mail; Expert systems; Fault diagnosis; Joints; Materials; Military equipment; Expert system; Intelligent Fault Diagnosis; Neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6000842
Link To Document :
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