Fault diagnosis system using neural networks models.

摘要

This paper describes a Fault Diagnosis System method using analytical redundancy and neural networks identification. The identification mechanism obtains a neural network model. Finally this model is used for building a model-based fault diagnosis system, using parity equations. This hybrid method has been applied to a laboratory equipment.