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