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Fault Detection and Diagnosis of a Constant Volume Air Handling Unit by a Fuzzy Algorithm  

Han Doyoung (Department of Mechanical and Automotive Engineering, Kookmin University)
Kim Jin (Graduate School of Mechanical Engineering, Kookmin University)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.17, no.5, 2005 , pp. 444-451 More about this Journal
Abstract
The fault detection and diagnosis technology may be applied in order to decrease the energy consumption and the maintenance cost of an air-conditioning system. In this study, partial faults for fans, coils, dampers, and sensors of a constant volume air handling unit were considered. A fuzzy algorithm was developed to detect and diagnose these faults. Diagnostic results by the fuzzy algorithm were compared with those by the model reference algorithm. The fuzzy algorithm showed better results in diagnostic accuracies.
Keywords
Fault detection and diagnosis; Constant volume air handling unit; Fuzzy algorithm; Model reference algorithm;
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