DocumentCode
2331786
Title
Fault classification using time variable ART2-A networks
Author
Benitez-Perez, Hector
Author_Institution
Departamento de Ingenieria de Sistemas Computacionales y Automatizacion, UNAM, Obregon
Volume
2
fYear
2002
fDate
2002
Firstpage
832
Abstract
Increasingly, there is a move towards in-built intelligence for sensors and actuators to integrate "smart" peripheral elements as part of a distributed control system. The utilisation of local intelligence to provide local fault detection and fault tolerance facilitates the incorporation of new variables into the structure of these peripheral elements. How on-line fault classification overcomes the time varying situation is studied here. The main idea is to integrate three ART2-A networks in order to produce a fault classification capable of managing the situation.
Keywords
ART neural nets; control engineering computing; distributed control; fault diagnosis; intelligent control; neural net architecture; pattern classification; time-varying systems; actuators; distributed control system; fault classification; in-built intelligence; local fault detection; local fault tolerance; local intelligence; pattern recognition; sensors; smart peripheral elements; time variable ART2-A networks; Distributed control; Fault detection; Fault diagnosis; Fault tolerant systems; Intelligent actuators; Intelligent sensors; Intelligent structures; Neural networks; Pattern recognition; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 2002. Proceedings of the 2002 International Conference on
Print_ISBN
0-7803-7386-3
Type
conf
DOI
10.1109/CCA.2002.1038709
Filename
1038709
Link To Document