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Fault Diagnosis Algorithm of an Air-conditioning System by using a Neural No-fault Model and a Dual Fuzzy Logic  

Han Do-Young (School of Mechanical and Automotive Engineering, Kookmin University)
Jung Nam-Chul (Graduate School of Mechanical Engineering, Kookmin University)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.18, no.10, 2006 , pp. 791-799 More about this Journal
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.
Keywords
Fault diagnosis algorithm; Neural no-fault model; Dual fuzzy logic; Compressor valve leakage; Liquid line blockage; Condenser fouling; Evaporator fouling; Refrigerant leakage;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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