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A hierarchy of change-point methods for estimating the time instant of leakages in water distribution networks
dc.contributor.author | Boracchi, Giacomo |
dc.contributor.author | Puig Cayuela, Vicenç |
dc.contributor.author | Roveri, Manuel |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2014-03-21T11:23:15Z |
dc.date.created | 2013 |
dc.date.issued | 2013 |
dc.identifier.citation | Boracchi , G.; Puig, V.; Roveri, M. A hierarchy of change-point methods for estimating the time instant of leakages in water distribution networks. A: International Conference on Artificial Intelligence Applications and Innovations. "Artificial Intelligence Applications and Innovations". Paphos: Springer-Verlag Berlin Heidelberg, 2013, p. 615-624. |
dc.identifier.isbn | 9783642411410 |
dc.identifier.uri | http://hdl.handle.net/2117/22323 |
dc.description.abstract | Leakages are a relevant issue in water distribution networks with severe effects on costs and water savings. While there are several solutions for detecting leakages by analyzing of the minimum night flow and the pressure inside manageable areas of the network (DMAs), the problem of estimating the time-instant when the leak occurred has been much less considered. However, an estimate of the leakage time-instant is useful for the diagnosis operations, as it may clarify the leak causes. We here address this problem by combining two change-point methods (CPMs) in a hierarchy: at first, a CPM analyses the minimum night flow providing an estimate of the day when the leakage started. Such an estimate is then refined by a second CPM, which analyzes the residuals between the pressure measurements and a network model in a neighborhood of the estimated leakage day. The proposed approach was tested on data from a DMA of a big European city, both on artificially injected and real leakages. Results show the feasibility of the proposed solution, also when leakages are very small. © IFIP International Federation for Information Processing 2013. |
dc.format.extent | 10 p. |
dc.language.iso | eng |
dc.publisher | Springer-Verlag Berlin Heidelberg |
dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitària |
dc.subject.lcsh | Water-supply -- Automatic control |
dc.subject.other | Change-point estimation |
dc.subject.other | Leakages in water distribution networks |
dc.subject.other | Nonstationarity detection |
dc.title | A hierarchy of change-point methods for estimating the time instant of leakages in water distribution networks |
dc.type | Conference report |
dc.subject.lemac | Aigua -- Abastament -- Control |
dc.contributor.group | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
dc.identifier.doi | 10.1007/978-3-642-41142-7_62 |
dc.relation.publisherversion | http://link.springer.com/chapter/10.1007%2F978-3-642-41142-7_62 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 13669211 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Boracchi , G.; Puig, V.; Roveri, M. |
local.citation.contributor | International Conference on Artificial Intelligence Applications and Innovations |
local.citation.pubplace | Paphos |
local.citation.publicationName | Artificial Intelligence Applications and Innovations |
local.citation.startingPage | 615 |
local.citation.endingPage | 624 |