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Recherche sur le diagnostic des défaillances des pompes à chaleur basée sur des réseaux neuronaux flous.

Research on heat pump fault diagnosis based on fuzzy neural networks.

Auteurs : WANG Z. Y., GU B.

Résumé

A set of thermal parameters is selected and measured to form the characteristic vector that represents the malfunction state of the heat pump air-conditioning system. Combined fuzzy theory with neural network, constructs the fuzzy neural network (FNN). The structure and algorithm of the FNN are described concretely. Several typical faults in the heat pump air-conditioning system are analyzed with the method. The results show that the performance of the FNN has better analyzing effects than conventional methods. This method, which is checked through theory and practice, provides a means for intelligent fault diagnosis of this system.

Détails

  • Titre original : Research on heat pump fault diagnosis based on fuzzy neural networks.
  • Identifiant de la fiche : 2008-2724
  • Langues : Anglais
  • Source : Cryogenics and refrigeration. Proceedings of ICCR'2008.
  • Date d'édition : 05/04/2008

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