설비공학논문집 (Korean Journal of Air-Conditioning and Refrigeration Engineering)

  • 제18권10호
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  • Pages.791-799
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  • 2006
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  • 1229-6422(pISSN)
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  • 2465-7611(eISSN)
대한설비공학회 (The Society of Air-Conditioning and Refrigerating Engineers of Korea)
권호 표지

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

  • 한도영 (국민대학교 기계.자동차공학부) ;
  • 정남철 (국민대학교 기계공학과 대학원)
  • Han Do-Young (School of Mechanical and Automotive Engineering, Kookmin University) ;
  • Jung Nam-Chul (Graduate School of Mechanical Engineering, Kookmin University)
  • 발행 : 2006.10.01
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초록

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.

키워드

참고문헌

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