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Étude expérimentale d'un algorithme de détection des anomalies utilisant une méthode de régression pour les anomalies des systèmes intérieurs comprenant plusieurs pompes à chaleur en mode chauffage.

Experimental study on fault detection algorithm using regression method for plural indoor units faults of multi-heat pump system under heating mode.

Numéro : pap. 2416

Auteurs : KIM H. S., CHO M. K., KIM M. S.

Résumé

This paper presents the fault detection algorithm using regression method for plural indoor units faults of multi-heat pump system under heating mode. To develop the fault detection algorithm, experiment was performed under no fault mode. Total 65 experimental data were obtained from the experiment. Regression models for five heat exchangers which including one outdoor unit and four indoor units were developed by using these 65 data. Each regression model consists of seven inputs (inlet and outlet temperatures, pressure and mass flow rate of refrigerant, inlet and outlet temperature of air, fan RPM) and one output (heat capacity). Then based on these models, the fault detection algorithm was made. To ascertain whether the fault detection algorithm works well or not, series of faulty and no fault experiment were conducted. There are five working modes which include: (1) no fault mode; (2) one of the indoor units fault mode; (3) two of the indoor units faults mode; (4) three of the indoor units faults mode; and (5) all of the indoor units faults mode. Indoor unit fault was simulated by blocking the air inlet. The air flow rate was measured by a wind tunnel. Under this situation, the air flow rate was reduced by about 35% of no fault mode. The fault detection algorithm works very nicely at five working modes.

Documents disponibles

Format PDF

Pages : 7 p.

Disponible

  • Prix public

    20 €

  • Prix membre*

    15 €

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

Détails

  • Titre original : Experimental study on fault detection algorithm using regression method for plural indoor units faults of multi-heat pump system under heating mode.
  • Identifiant de la fiche : 30006469
  • Langues : Anglais
  • Source : 2012 Purdue Conferences. 14th International Refrigeration and Air-Conditioning Conference at Purdue.
  • Date d'édition : 16/07/2012

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