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Model based leakage isolation in water distribution system: a neural classifier approach
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Datum
2015
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University of Copenhagen
Zusammenfassung
The paper presents an approach to detect and isolate
leakages in water distribution networks. The first step of the
methodology is the definition of the most sensitive nodes of the
water distribution network that could be chosen as the places of
pressure measurement points. Next, the numerical calculations of
the hydraulic model for the purpose of determining the pressure
variations for the standard, and during a leakage, operation of
the water network were performed. At last neural classifiers were
estimated so as to isolate the place of a leakage.