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Méthode de diagnostic de défaut de la charge à débit de frigorigène variable basée sur l’arbre décisionnel C5.0 modifié par un expert.

A VRF charge fault diagnosis method based on expert modification C5.0 decision tree.

Auteurs : YU F., LI G., CHEN H., et al.

Type d'article : Article, Article de la RIF

Résumé

VRF (Variable Refrigerant Flow) system is an efficient and energy-saving air-conditioning system. The VRF system performance is significantly affected by the quantity of refrigerant (charge). Both insufficient and excessive refrigerant charge will lead a dramatic decline of air conditioning system performance. Accordingly, it is necessary to forecast refrigerant charge in existing systems. This study proposed a charge fault diagnosis method based on expert modification C5.0 decision tree. Initially, C5.0 decision tree is used to diagnosis VRF system charge faults in nine different conditions. Furthermore, in order to reduce error rate of the decision tree, expert experience is used to modify the decision tree. And temperature differential variables are used to improve the diagnosis result. The results of the C5.0 decision tree using temperature differential variables shows fault diagnosis error rates under expert experience guidance are 10% lower than without expert experience. Besides, this method an increased accuracy in classifies between excessive and normal charge states.

Documents disponibles

Format PDF

Pages : 106-112

Disponible

  • Prix public

    20 €

  • Prix membre*

    Gratuit

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : A VRF charge fault diagnosis method based on expert modification C5.0 decision tree.
  • Identifiant de la fiche : 30024294
  • Langues : Anglais
  • Source : International Journal of Refrigeration - Revue Internationale du Froid - vol. 92
  • Date d'édition : 08/2018
  • DOI : http://dx.doi.org/10.1016/j.ijrefrig.2018.05.034

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