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Identifying an Appropriate Analysis Duration for the Principal Component Analysis of Water Pipe Flow Data

상수도 관망 유량관측 자료의 주성분 분석을 위한 분석기간의 설정

  • Received : 2012.12.16
  • Accepted : 2013.06.12
  • Published : 2013.06.15

Abstract

In this study the Principal Component Analysis (PCA) was applied to flow data in a water distribution pipe system to analyze the relevance between the flow observation dates, which have the outliers of observed night flows, and the maintenance records. The data was obtained from four small size water distribution blocks to which 13 maintenance records such as pipe leak and water meter leak belong. The flow data during four months were used for the analysis. The analysis was carried out to identify an appropriate analysis period for a PCA model for a water distribution block. To facilitate the analyses a computational algorithm was developed. MATLAB was utilized to realize the algorithm as a computer program. As a result, an appropriate PCA period for each of the case study small size water distribution blocks was identified.

Keywords

analysis period;computational algorithm;night flows;Principal Component Analysis;water distribution pipe system

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Cited by

  1. Determining the Time of Least Water Use for the Major Water Usage Types in District Metered Areas vol.29, pp.3, 2015, https://doi.org/10.11001/jksww.2015.29.3.415

Acknowledgement

Supported by : 부산대학교