DocumentCode :
2224017
Title :
Design and Implementation of Intelligent Fault Diagnosis System
Author :
Yuan Huimei ; Chen Zongying
Author_Institution :
Coll. of Inf. Eng., Capital Normal Univ., Beijing, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
2296
Lastpage :
2299
Abstract :
Method of analog circuit fault diagnosis based on ANN (artificial neural network) and ES (expert system) is proposed according to the recent development of modern electronic testing technology and artificial intelligence. The structure and organizing of fault diagnosis system on analog circuit and its feasibility is mainly illustrated, and the platform of software based on Labview and Matlab is developed. Through the software, the system can manage its two main function module which are auto measurement module and fault diagnosis module working on an environment orderly. If a test program is loaded into the software platform, the corresponding circuit will be measured automatically. It is shown that the software platform has friendly interface, complete function and content with the need of intelligent fault diagnosis.
Keywords :
analogue circuits; artificial intelligence; circuit analysis computing; circuit testing; expert systems; fault diagnosis; neural nets; user interfaces; Labview; Matlab; analog circuit fault diagnosis method; artificial intelligence; artificial neural network; auto measurement module; electronic testing technology; expert system; function module; intelligent fault diagnosis system; software platform; Analog circuits; Artificial intelligence; Artificial neural networks; Circuit testing; Diagnostic expert systems; Electronic equipment testing; Fault diagnosis; Intelligent systems; Software measurement; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.465
Filename :
5455176
Link To Document :
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