On Fault Isolation by Functional and Hardware Redundancy

The aim of the work is to exploit some aspects of the functional and hardware redundancy in fault detection and isolation tasks using back-propagation neural networks as functional approximation devices to be used as residuals generators which will evaluated by means of rule based strategies. Implementation procedure is carried out with the facilities supplied by a FOUNDATION^TM Fieldbus compliant tool, which manage databases, neural network structures and training algorithms under mentioned standard.