DocumentCode :
554276
Title :
Intelligent fault diagnosis for analog circuits
Author :
Rui Chen ; Zhenchao Zhou
Author_Institution :
Sch. of Electr. & Inf. Eng., Liaoning Inst. of Sci. & Technol., Benxi, China
Volume :
3
fYear :
2011
fDate :
12-14 Aug. 2011
Firstpage :
1263
Lastpage :
1266
Abstract :
This paper describes the design of fault diagnosis system based on neural networks and expert system for analog circuit. This system avoids wrong output from neural networks, the other hand reduces the missed diagnosis from expert system, and simulates for analog circuit with Matlab. In the Simulation the input data are fuzzy, the two data exported from neural networks and expert systems are syncretized, thereby enhancing overall system performance integrated diagnosis.
Keywords :
analogue circuits; expert systems; fault diagnosis; neural nets; Matlab; analog circuit; expert system; intelligent fault diagnosis; neural network; system performance integrated diagnosis; Analog circuits; Circuit faults; Cognition; Educational institutions; Expert systems; Fault diagnosis; Training; Analog circuits; Expert system; Fault diagnosis; Fuzzy; Neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
Type :
conf
DOI :
10.1109/EMEIT.2011.6022990
Filename :
6022990
Link To Document :
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