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A study on a method for improving the fault detection performance of virtual sensors in building automation systems under the sensor absence
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센서 부재 환경에서 건물 시스템 단위 이상 진단 모델의 성능 향상 방안

논문 기본 정보

Type
Proceeding
Author
Ryunhee Kim (인천대학교) Sungmin Yoon (인천대학교) Yong-Shik Kim (인천대학교)
Journal
The Society Of Air-Conditioning And Refrigerating Engineers Of Korea 대한설비공학회 학술발표대회논문집 2021 SAREK Summer Annual Conference
Published
2021.6
Pages
628 - 631 (4page)

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A study on a method for improving the fault detection performance of virtual sensors in building automation systems under the sensor absence
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Virtual sensors are widely used to overcome the limited sensing environment in building systems in these days. However, developed virtual sensors can involve uncertainty of systems and it could affect the performance of virtual sensors. In this paper, the method for improving the performance of virtual sensor using parametric study on assistance virtual sensor is proposed. Suggested method is experimentally applied to the fault detection model. Several calibration constant are selected through the parametric study and used for the assistance virtual sensor to calibrate its uncertainty. The result shows that using the calibration constant could significantly improve the performance of the fault detection model.
#District heating system(지역난방시스템) #Virtual sensors(가상센서) #Assistance virtual sensor(보조가상센서) #Fault detection(이상검출) #Optimization(최적화) #Parametric study

Contents

Abstract
1. 서론
2. Parametric study를 통한 이상 감지 모델 성능 향상 방법 제안
3. 방법 적용 및 결과
4. 결론
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