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handle: 2117/24257 , 10261/127303
This paper describes a model-driven decision-support system (software tool) implementing a model-based methodology for on-line leakage detection and localization which is useful for a large class of water distribution networks. Since these methods present a certain degree of complexity which limits their use to experts, the proposed software tool focuses on the integration of a method emphasizing its use by water network managers as a decision support system. The proposed software tool integrates a model-based leakage localization methodology based on the use of on-line telemetry information, as well as a water network calibrated hydraulic model. The application of the resulting decision support software tool in a district metered area (DMA) of the Barcelona distribution network is provided and discussed. The obtained results show that the leakage detection and localization may be performed efficiently reducing the required time.
Peer Reviewed
:Informàtica::Automàtica i control [Àrees temàtiques de la UPC], Leakage localization, Hydraulics -- Automation, Pressure sensitivity, Hidràulica -- Automatització, Water networks, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Hydraulic models, Software tools, Fault diagnosis
:Informàtica::Automàtica i control [Àrees temàtiques de la UPC], Leakage localization, Hydraulics -- Automation, Pressure sensitivity, Hidràulica -- Automatització, Water networks, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Hydraulic models, Software tools, Fault diagnosis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 64 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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