DocumentCode
3441717
Title
A two stage neural network DC fault dictionary
Author
Rutkowski, Jerzy
Author_Institution
Inst. of Electron., Silesian Tech. Univ., Gliwice, Poland
Volume
6
fYear
1994
fDate
30 May-2 Jun 1994
Firstpage
299
Abstract
A new concept of neural network DC fault dictionary is presented. The neural network is combined with two networks: Learning Vector Quantization network and Multilayer Perceptron. Simulation results are presented and they show that the proposed approach is an improvement as compared with classical nearest neighbour rule approach
Keywords
analogue circuits; fault diagnosis; learning (artificial intelligence); multilayer perceptrons; neural nets; pattern classification; vector quantisation; DC fault dictionary; analogue circuits; fault isolation; fault location; learning vector quantization network; multilayer perceptron; neural network; simulation before test; Circuit faults; Circuit simulation; Circuit testing; Dictionaries; Euclidean distance; Fault detection; Multilayer perceptrons; Neural networks; Vector quantization; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location
London
Print_ISBN
0-7803-1915-X
Type
conf
DOI
10.1109/ISCAS.1994.409585
Filename
409585
Link To Document