| 논문명 |
VAV 시스템의 데이터 필터링과 오류 검출 / Data Filtering and Fault Detection of VAV System / 2-4 : 빌딩시뮬레이션 I |
| 저자명 |
김영진(Kim, Young-Jin) ; 안기언(Ahn, Ki-Uhn) ; 김기철(Kim, Ki-Cheol) ; 박철수(Park, Cheol-Soo) |
| 주제어 |
오류 검출 ; 데이터 필터링 ; 건물 에너지 운영 시스템 ; 변풍량공조 ; 빌딩 시뮬레이션 ; Fault detection ; Data filtering ; BEMS ; VAV ; Building Simulation |
| 요약2 |
For efficient operations of HVAC systems under Building Energy Management System (BEMS) environment, sensor data filtering and fault detection methods are needed. This paper addresses an automating data filtering and fault detection model of a Variable Air Volume (VAV) system where discrete wavelet transform and data driven machine learning model are coupled. To validate the developed model, three fault scenarios (temperature and mass flow rate sensor offset, outdoor air damper stuck or leaking, and coil valve control fault) are chosen and tested. In the paper, it was found that the data filtering and fault detection model provide building operators with meaningful system fault alarms. |
