Water Leakage Detection and Localization using Hydraulic Modeling and Classi cation Approach
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Date
2020-03-10
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Addis Ababa University
Abstract
The distribution of treated water over a water distribution system faces di erent
losses. In these distribution systems, a signi cant percentage of water is lost due
to leakages. There are plenty of researches that were proposed to tackle this water
resource wastage. Most of them, however, focus on large bursts and single leakage
detection and localization.
This thesis proposed a leak detection and localization approach that uses hydraulic
modeling and classi cation approaches for detection, and a statistical approach for
localization. The general term used in identifying and locating leaks is Leakage
Detection and Localization. The detection system aims at detecting small leakages
(i.e., below 5% of the total supply). The localization phase of this thesis also aims
at localizing multiple leakages.
The proposed approach is applied on Hanoi water network benchmark by doing
di erent experiments. A realistic dataset is produced based on a benchmark dataset
procedure (i.e., LeakDB). The detection and localization results under well-known
calibrated hydraulic conditions are almost perfect (i.e., 100% for detection and 90
for localization). The introduction of demand and noise uncertainty, however, a ects
the accuracy of the detection of small leakages. The localization methodology has
shown e ectiveness in locating two and three leaks that are presented simultaneously
in 9 of 20 cases on average accurately, and 11 of 20 cases at least one of them.
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Keywords
Leakage Detection, Localization, Hydraulic Modeling, Classification, Combined residuals