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논문 상세정보

신경망무고장모델과 이중퍼지로직을 사용한 냉방기 고장진단 알고리즘

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

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.

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참고문헌 (13)

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이 논문을 인용한 문헌 (2)

  1. Han, Hwa-Taik ; Shin, Dong-Sin ; Choi, Chang-Ho ; Lee, Dae-Young ; Kim, Seo-Young ; Kwon, Yong-Il 2008. "Recent Progress in Air Conditioning and Refrigeration Research: A Review of Papers Published in the Korean Journal of Air-Conditioning and Refrigeration Engineering in 2006" 설비공학논문집 = Korean journal of air-conditioning and refrigeration engineering, 20(6): 427~446 
  2. Han, Do-Young ; Noh, Hee-Jeon 2010. "Mathematical Models of a Transformer Cooling System for the Control Algorithm Development" 설비공학논문집 = Korean journal of air-conditioning and refrigeration engineering, 22(2): 70~77 

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