Waterloss Detection in Water Distribution Networks using Wavelet Change-Point Detection

Symeon E. Christodoulou (), Elena Kourti and Agathoklis Agathokleous
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Symeon E. Christodoulou: University of Cyprus
Elena Kourti: University of Cyprus
Agathoklis Agathokleous: Nireas International Water Research Center

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2017, vol. 31, issue 3, No 15, 979-994

Abstract: Abstract The work presented herein addresses the automatic detection of water losses in water distribution networks (WDN), through the dynamic analysis of the time series related to water consumption within the network and the use of a wavelet change-point detection classifier for identifying anomalies in the consumption patterns. The wavelet change-point method utilizes the continuous wavelet transform (CWT) of time-series (signals) to analyze how the frequency content of a signal changes over time. In the case of water distribution networks the time-series relates to streaming water consumption data from automatic meter reading (AMR) devices, at either the individual consumers’ level or at an aggregated district meter area (DMA) level. The wavelet change-point detection method analyzes the provided time-series to acquire inherent knowledge on water consumption under normal conditions at household or area-wide levels, to then make inferences about water consumption under abnormal conditions. The method is demonstrated on several abnormal WDN operating conditions and anomaly detection cases.

Keywords: Water distribution networks; Waterloss detection; Wavelet change-point detection (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s11269-016-1558-5

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