• 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