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handle: 2117/98918 , 10261/166403
This paper presents an optimal sensor placement strategy based on pressure sensitivity matrix analysis and a semi-exhaustive search strategy that maximizes some diagnosis specifications for water distribution networks. A mean average worst leak expansion distance has been proposed as a new leak location performance measure. The approach is combined with a clustering technique in order to reduce the size and the complexity of the sensor placement problem. The strategy is successfully applied to determine the location of a set of pressure sensors in a district metered area (DMA) in the Barcelona water distribution network (WDN).
Peer Reviewed
:Informàtica::Automàtica i control [Àrees temàtiques de la UPC], optimal sensor placement, Barcelona water distribution network, pattern clustering, pressure sensors, DMA, Water-supply, Aigua--Abastament, Incertesa, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Pressure, query formulation, pressure sensitivity matrix analysis, WDN, district metered area, leak monitoring, drinking water networks, Mathematical models, water supply, Uncertainty, Models matemàtics, Detectors, matrix algebra, clustering techniques, monitoring, Pressió, semi-exhaustive search strategy
:Informàtica::Automàtica i control [Àrees temàtiques de la UPC], optimal sensor placement, Barcelona water distribution network, pattern clustering, pressure sensors, DMA, Water-supply, Aigua--Abastament, Incertesa, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Pressure, query formulation, pressure sensitivity matrix analysis, WDN, district metered area, leak monitoring, drinking water networks, Mathematical models, water supply, Uncertainty, Models matemàtics, Detectors, matrix algebra, clustering techniques, monitoring, Pressió, semi-exhaustive search strategy
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