Fault Diagnosis System Using Neural Networks Models

  1. Javier García, F. 1
  2. García, Antonio J. 1
  3. Candau, José 1
  4. Perán, José R. 1
  1. 1 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

Journal:
IFAC Proceedings Volumes

ISSN: 1474-6670

Year of publication: 2000

Volume: 33

Issue: 11

Pages: 457-461

Type: Article

DOI: 10.1016/S1474-6670(17)37401-3 GOOGLE SCHOLAR lock_openOpen access editor

More publications in: IFAC Proceedings Volumes

Abstract

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.

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