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Study on the applicability of the principal component analysis for detecting leaks in water pipe networks

상수관망의 누수감지를 위한 주성분 분석의 적용 가능성에 대한 연구

  • Kim, Kimin (Department of Civil and Environmental Engineering, Pusan National University) ;
  • Park, Suwan (Department of Civil and Environmental Engineering, Pusan National University)
  • 김기민 (부산대학교 공과대학 사회환경시스템공학과) ;
  • 박수완 (부산대학교 공과대학 사회환경시스템공학과)
  • Received : 2017.07.13
  • Accepted : 2019.04.08
  • Published : 2019.04.15

Abstract

In this paper the potential of the principal component analysis(PCA) technique for the application of detecting leaks in water pipe networks was evaluated. For this purpose the PCA was conducted to evaluate the relevance of the calculated outliers of a PCA model utilizing the recorded pipe flows and the recorded pipe leak incidents of a case study water distribution system. The PCA technique was enhanced by applying the computational algorithms developed in this study which were designed to extract a partial set of flow data from the original 24 hour flow data so that the effective outlier detection rate was maximized. The relevance of the calculated outliers of a PCA model and the recorded pipe leak incidents was analyzed. The developed algorithm may be applied in determining further leak detection field work for water distribution blocks that have more than 70% of the effective outlier detection rate. However, the analysis suggested that further development on the algorithm is needed to enhance the applicability of the PCA in detecting leaks by considering series of leak reports happening in a relatively short period.

Keywords

References

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