DocumentCode
2916923
Title
BP neural network approach to module fault diagnosis for large analog circuit
Author
He, Yigang ; Li, Yun ; Liu, Meirong
Author_Institution
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Volume
D
fYear
2004
fDate
21-24 Nov. 2004
Firstpage
395
Abstract
According to circuit decomposition technology and crossover tearing technology, a fast approach of module level fault diagnosis for large analog circuit based on BP (back propagation) neural network is presented. The new approach is based on parallel diagnosis, so fault modules can be located quickly and effectively. The availability of the method is examined by simulation.
Keywords
analogue circuits; backpropagation; fault diagnosis; neural nets; power engineering computing; BP; analog circuit; back propagation neural network; circuit decomposition technology; crossover tearing technology; fault diagnosis; Analog circuits; Circuit faults; Circuit simulation; Circuit testing; Educational institutions; Fault diagnosis; Helium; Large-scale systems; Neural networks; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN
0-7803-8560-8
Type
conf
DOI
10.1109/TENCON.2004.1414953
Filename
1414953
Link To Document