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      KCI등재

      가상센서 기반 건물에너지시스템 이상검출을 위한 실물센서의 요구성능 분석 방법 = Analysis of the Required Performance of Physical Sensors for the Virtual Sensor-Based Fault Detection in Building Energy Systems

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      https://www.riss.kr/link?id=A108042750

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      다국어 초록 (Multilingual Abstract)

      This study proposes an analysis method to determine the performance of physical sensors required to achieve the target performance of the virtual sensor-based fault detection in building energy systems. The proposed method was applied through the buil...

      This study proposes an analysis method to determine the performance of physical sensors required to achieve the target performance of the virtual sensor-based fault detection in building energy systems. The proposed method was applied through the building energy simulation with fault modeling. Simulation was performed using the Designbuilder and EnergyPlus tools. The simulated datasets consist of physical sensors and energy consumptions for the normal and faulty system conditions. The virtual sensor-based fault detection method was constructed for fouling faults in the target system, using the simulated datasets. Then, the required performance of the key physical sensors was analyzed by the proposed method under the different levels of random errors of temperature sensors in the virtual sensor-based fault detection of the chiller fouling. According to the case study, the accuracy of physical sensors has a great impact on the fault detection performance. In order to achieve the target performance of 90% detection for the fouling level of below 10%, the physical temperature sensors should have accuracy within ±0.5°C (random errors). This study shows the proposed method can be effectively used in the fault detection design stage, thus proving reliable fault detection performance under the physical sensor uncertainties in real operational systems.

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      참고문헌 (Reference)

      1 Kim, R. H, "System-level fouling detection of district heating substations using virtual-sensor-assisted building automation system" 227 : 477-490, 2021

      2 Liu, J, "Sensor fault detection and diagnosis method for AHU Using 1-D CNN and clustering analysis" 2019

      3 Korea Energy Agency, "Reference book for economic analysis of the zero energy building" 2020

      4 Wang, H, "Online model-based fault detection and diagnosis strategy for VAV air handling units" 55 : 252-263, 2012

      5 US Department of Energy, "EnergyPlus Documentation: Engineering Reference"

      6 Yap, W. K, "ANN virtual sensors for emissions prediction and control" 88 : 4505-4516, 2011

      7 Wang, S, "A system-level fault detection and diagnosis strategy for HVAC systems involving sensor faults" 42 (42): 477-490, 2010

      8 Li, H, "A review of virtual sensing technology and application in building systems" 17 (17): 619-645, 2011

      1 Kim, R. H, "System-level fouling detection of district heating substations using virtual-sensor-assisted building automation system" 227 : 477-490, 2021

      2 Liu, J, "Sensor fault detection and diagnosis method for AHU Using 1-D CNN and clustering analysis" 2019

      3 Korea Energy Agency, "Reference book for economic analysis of the zero energy building" 2020

      4 Wang, H, "Online model-based fault detection and diagnosis strategy for VAV air handling units" 55 : 252-263, 2012

      5 US Department of Energy, "EnergyPlus Documentation: Engineering Reference"

      6 Yap, W. K, "ANN virtual sensors for emissions prediction and control" 88 : 4505-4516, 2011

      7 Wang, S, "A system-level fault detection and diagnosis strategy for HVAC systems involving sensor faults" 42 (42): 477-490, 2010

      8 Li, H, "A review of virtual sensing technology and application in building systems" 17 (17): 619-645, 2011

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2013-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2012-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2010-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.4 0.4 0.36
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.31 0.26 0.651 0.09
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