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:

Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Lógica difusa
- Red neuronal artificial
Áreas temáticas de Dewey:
- Métodos informáticos especiales

Objetivos de Desarrollo Sostenible:
- ODS 9: Industria, innovación e infraestructura
- ODS 12: Producción y consumo responsables
- ODS 8: Trabajo decente y crecimiento económico
