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Une étude expérimentale d'algorithmes de détection d'anomalies basées sur les règles, menée sur un système de chauffage, ventilation et conditionnement d'air.

An experimental study of rule-based fault detection algorithms in a HVAC system.

Auteurs : YANG H., CHO S., TAE C. S.

Résumé

Rule-based fault detection and diagnosis (FDD) algorithms are developed and validated by carrying out experiments in a green building HVAC system. Energy balance equations were used to develop analytical algorithms to detect a faulty component. Experiments were conducted on a variable air volume air handling unit. To simulate artificial temperature sensor faults, a variable resistance device was applied to the temperature sensor. In the experiments conducted under summer conditions, the rule based FDD algorithms successfully isolated the faulty sensor in the air handling unit.

Détails

  • Titre original : An experimental study of rule-based fault detection algorithms in a HVAC system.
  • Identifiant de la fiche : 2007-1217
  • Langues : Anglais
  • Source : ACRA-2006. Proceedings of the 3rd Asian conference on refrigeration and air conditioning.
  • Date d'édition : 21/05/2006

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