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      퍼지 알고리즘을 이용한 정풍량 공조기의 고장 감지 및 진단 = Fault Detection and Diagnosis of a Constant Volume Air Handling Unit by a Fuzzy Algorithm

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      https://www.riss.kr/link?id=A104423720

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      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.
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      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 ai...

      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.

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      참고문헌 (Reference)

      1 "The use of series analysis in fault detection and diagnosis methodologie" 108 (108): 2002

      2 "Rule bases for the development of the real time fault detection and diagnosis system of the air handling unit" Proceedings of the SAREK 659-664, 2001

      3 "Partial fault detection of the air-conditioning system by using curve fitting model" Proceedings of the SAREK 670-674, 2001

      4 "Fuzzy Theory and Control" Chungmoon 215-291, 1997

      5 "Fault detection and diagnosis of air-conditioning system by using curve fitted type fuzzy algorithm" Proceedings of the SAREK 302-307, 2000

      6 "Fault detection and diagnosis in chillers" 106 (106): 2000

      7 "Fault detection and diagnosis for an air-handling unit using artificial neural network" 13 (13): 1288-1296, 2001

      8 "Fault detection & diagnosis of an air handling unit based on rule bases Korean Journal of Air-Conditioning and Refrigeration Engineering" 14 (14): 552-559, 2002

      9 "Dynamic models of the air handling unit for the development of real time fault detection and diagnosis system" Proceedings of the SAREK 201-207, 2000

      10 "Dynamic models of the air handling unit for the development of real time fault detection and diagnosis system" 201-207, 2000

      1 "The use of series analysis in fault detection and diagnosis methodologie" 108 (108): 2002

      2 "Rule bases for the development of the real time fault detection and diagnosis system of the air handling unit" Proceedings of the SAREK 659-664, 2001

      3 "Partial fault detection of the air-conditioning system by using curve fitting model" Proceedings of the SAREK 670-674, 2001

      4 "Fuzzy Theory and Control" Chungmoon 215-291, 1997

      5 "Fault detection and diagnosis of air-conditioning system by using curve fitted type fuzzy algorithm" Proceedings of the SAREK 302-307, 2000

      6 "Fault detection and diagnosis in chillers" 106 (106): 2000

      7 "Fault detection and diagnosis for an air-handling unit using artificial neural network" 13 (13): 1288-1296, 2001

      8 "Fault detection & diagnosis of an air handling unit based on rule bases Korean Journal of Air-Conditioning and Refrigeration Engineering" 14 (14): 552-559, 2002

      9 "Dynamic models of the air handling unit for the development of real time fault detection and diagnosis system" Proceedings of the SAREK 201-207, 2000

      10 "Dynamic models of the air handling unit for the development of real time fault detection and diagnosis system" 201-207, 2000

      11 "Application of black-box models to HVAC systems for fault detection" 102 : 628-640, 1996

      12 "An experimental study on the rule based fault detection and diagnosis system of air handling unit" Proceedings of the SAREK 399-404, 2002

      13 "ARX models and real-time model-based diagnosis" 103 : 657-671, 1997

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 계속평가 신청대상 (등재유지)
      2017-01-01 평가 우수등재학술지 선정 (계속평가)
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1999-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.8 0.8 0.62
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.51 0.44 0.622 0.03
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