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

The Society of Air-Conditioning and Refrigerating Engineers of Korea (대한설비공학회)
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Partial Fault Detection of Air-conditioning System by Neural Network Algorithm using Data Preprocessing Method

데이터 전처리기법을 적용한 신경망 알고리즘의 냉방기 부분고장 검출

  • 한도영 (국민대학교 기계ㆍ자동차공학부) ;
  • 이한홍 (국민대학교 기계공학과 대학) ;
  • 윤태훈 (국민대학교 기계공학과 대학원)
  • Published : 2002.07.01
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Abstract

The fault detection and diagnosis technology may be applied in order to decrease the energy consumption and the maintenance cost of the air-conditioning system. In this study, two different types of faults in the air-conditioning system, such as the condenser fouling and the evaporator fan slowdown, were considered. The neural network algorithm combined with data preprocessor was developed and applied to detect the faults of the real system. Test results show that this method is very effective to detect the faults in the air-conditioning system. Therefore, this developed method can be used for the development of the air-conditioner fault detection system.

Keywords

References

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