Fault detection and isolation using a neofuzzy neuron-based system

Darcy Novoa-Paredes; Francklin Rivas-Echeverria; Cesar Bravo-Bravo

doi:10.1117/12.421161

21 March 2001 Fault detection and isolation using a neofuzzy neuron-based system

Darcy Novoa-Paredes, Francklin Rivas-Echeverria, Cesar Bravo-Bravo

Proceedings Volume 4390, Applications and Science of Computational Intelligence IV; (2001) https://doi.org/10.1117/12.421161
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

In this paper a fault detection and isolation scheme using a set of Neo fuzzy neurons will be presented. Such neurons use IF-THEN 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.

Citation Download Citation

Darcy Novoa-Paredes, Francklin Rivas-Echeverria, and Cesar Bravo-Bravo "Fault detection and isolation using a neofuzzy neuron-based system", Proc. SPIE 4390, Applications and Science of Computational Intelligence IV, (21 March 2001); https://doi.org/10.1117/12.421161

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