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Fault detection and isolation using a Neo fuzzy neuron-based system

Abstract:

In this paper a fault detection and isolation scheme using a set of Neo fuzzy neurons will be presented. Such neurons use IFTHEN rules for characterizing the synaptic junctions in order to obtain complex nonlinear input/output maps in a simple structure, allowing an improvement of the learning and representation capabilities. As illustrative example, the fault detection scheme in a three interconnected tank system will be presented.

Año de publicación:

2001

Keywords:

  • Neural networks
  • fuzzy logic
  • Neo-fuzzy neurons
  • Fault Detection

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Lógica difusa
  • Red neuronal artificial

Áreas temáticas:

  • Métodos informáticos especiales

Contribuidores:

Bravo-Bravo C.Bravo-Bravo C.
Novoa-Paredes D.Novoa-Paredes D.
Francklin RivasFrancklin Rivas