A fault detection and diagnosis method for low delta-T syndrome in a complex air-conditioning system

Dian Ce Gao, Shengwei Wang, Fu Xiao, Kui Shan

Research output: Journal article publicationConference articleAcademic researchpeer-review

1 Citation (Scopus)


Published by Elsevier Ltd. Low delta-T syndrome widely exists in the existing air-conditioning systems and results in increased energy consumption. This paper presents a fault detection and diagnosis method (FDD) to detect and diagnose the low delta T syndrome resulted from the water fouling of cooling coils in a complex cooling system. Performance indices and adaptive thresholds are adopted in the FDD strategy to diagnose the health condition of the system. The adaptive threshold can effectively improve the prediction uncertainty of the reference models and the calculation uncertainty of performance indices under various working conditions. The proposed method was validated in a dynamic simulation platform representing a real complex HVAC system studied. The results show that the proposed FDD strategy can successfully detect the low delta-T syndrome and identify the faults.
Original languageEnglish
Pages (from-to)2514-2517
Number of pages4
JournalEnergy Procedia
Publication statusPublished - 1 Jan 2014
Event6th International Conference on Applied Energy, ICAE 2014 - National Taiwan University of Science and Technology, Taipei, Taiwan
Duration: 30 May 20142 Jun 2014


  • Chilled water system
  • Deficit flow
  • Fault detection and diagnosis
  • Low delt-T syndrome

ASJC Scopus subject areas

  • Energy(all)

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