DocumentCode :
1733302
Title :
Symbolic techniques in neural network based fault diagnosis of analog circuits
Author :
Grasso, Francesco ; Luchetta, Antonio ; Manetti, Stefano ; Piccirilli, Maria Cristina
Author_Institution :
Dept. of Electron. & Telecommun., Univ. of Florence, Firenze, Italy
fYear :
2010
Firstpage :
1
Lastpage :
4
Abstract :
The importance of symbolic analysis in the neural network approach to analog circuit fault diagnosis is discussed in this paper. Theoretical explanations and two explicative examples are presented, by taking into account the k-fault hypothesis.
Keywords :
analogue circuits; electronic engineering computing; fault simulation; neural nets; analog circuits; fault diagnosis; k-fault hypothesis; neural network; symbolic technique; Analog circuits; Artificial neural networks; Band pass filters; Circuit faults; Equations; Fault location;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD), 2010 XIth International Workshop on
Conference_Location :
Gammath
Print_ISBN :
978-1-4244-6816-4
Type :
conf
DOI :
10.1109/SM2ACD.2010.5672314
Filename :
5672314
Link To Document :
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