Mobile QR Code QR CODE : Korean Journal of Air-Conditioning and Refrigeration Engineering
Korean Journal of Air-Conditioning and Refrigeration Engineering

Korean Journal of Air-Conditioning and Refrigeration Engineering

ISO Journal TitleKorean J. Air-Cond. Refrig. Eng.
  • Open Access, Monthly
Open Access Monthly
  • ISSN : 1229-6422 (Print)
  • ISSN : 2465-7611 (Online)
Title The On-Line Diagnostic Test of Fault Diagnosis System for Air Handling Unit
Authors 소정훈 ; 유승선 ; 경남호 ; 신기식
Page pp.787-795
ISSN 12296422
Keywords Fault detection and diagnosis ; 고장검출진단 ; Neural network ; 신경망 ; Variable air volume ; 가변풍량 ; Building automation system ; 건물자동화시스템
Abstract An experimentation on the on-line fault detection and diagnosis (FDD) system has been performed with HVAC system in the experimental building constructed inside the large scale environmental chamber. Personal computer with a home-made FDD program by pattern recognition method utilizing artificial neural network was connected on-line via Ethernet TCP/IP to the supervisory control server for HVAC system. The FDD program monitored the HVAC system by 1 minutes interval. The results showed that the FDD program detected the sudden or abrupt faults such as those in fans, sensors and heater, etc.