| 학회 | 한국화학공학회 |
| 학술대회 | 2014년 가을 (10/22 ~ 10/24, 대전 DCC) |
| 권호 | 20권 2호, p.1367 |
| 발표분야 | 공정시스템 |
| 제목 | 통계학적 모니터링 기법을 이용한 상수관망 내 파열 모니터링 및 파열 위치 추정을 위한 최적 센서 위치 선정 |
| 초록 | In the water distribution system (WDS), burst causes economic losses for water companies as well as potential risk to public health. Therefore, rapid and noise–robust monitoring method and accurate isolation method is necessary. In this study, to detect burst rapidly and robustly against noise, combination of principal component analysis (PCA) and exponentially weighted moving average (EWMA) is used. In addition, optimal sensor location is obtained by principal component analysis (PCA) and k-mean cluster analysis for accurate burst isolation. As a case study, the proposed method was applied to a simple branched water distribution system. The results show that the proposed method is more robust for detecting the burst regardless size of noise as well as isolates the burst location more accurately than the conventional method. Acknowledgement) This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (NRF-2012R1A1B3001400) and MSIP (No. 2008-0061908) |
| 저자 | 이승철, 표세희, 김정태, 유창규 |
| 소속 | 경희대 |
| 키워드 | Burst detection; Water distribution system; Principal component analysis; Exponentially weighted moving average; K-mean cluster analysis |
| 원문파일 | 초록 보기 |
