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 Fault Diagnosis Algorithm of an Air-conditioning System by using a Neural No-fault Model and a Dual Fuzzy Logic
Authors 한도영 ; 정남철
Page pp.791-799
ISSN 12296422
Keywords Fault diagnosis algorithm ; 고장진단 알고리즘 ; Neural no-fault model ; 신경망무고장모델 ; Dual fuzzy logic ; 이중퍼지로직 ; Compressor valve leakage ; 압축기밸브누설 ; Liquid line blockage ; 액배관막힘 ; Condenser fouling ; 응축기오염 ; Evaporator fouling ; 증발기오염 ; Refrigerant leakage ; 냉매누설
Abstract The fault diagnosis technologies may be applied in order to decrease the energy consumption and the maintenance cost of an air-conditioning system. In this paper, a fault diagnosis algorithm was developed by using a neural no-fault model and a dual fuzzy logic. Five different faults, such as the compressor valve leakage, the liquid line blockage, the condenser fouling, the evaporator fouling, and the refrigerant leakage of an air-conditioning system, were considered. The fault diagnosis algorithm was tested by using a fault simulation facility. Test results showed that the algorithm developed for this study was effective to detect and diagnose various faults. Therefore, this algorithm may be practically used for the fault diagnosis of an air-conditioning system.