Leak localization in water distribution networks using Bayesian classifiers
This paper presents a method for leak localization in water distribution networks (WDNs) based on Bayesian classifiers. Probability density functions for pressure residuals are calibrated off-line for all the possible leak scenarios by using a hydraulic simulator, and considering the leak size uncer...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/110151 |
| Acceso en línea: | https://hdl.handle.net/2117/110151 https://dx.doi.org/10.1016/j.jprocont.2017.03.015 |
| Access Level: | acceso abierto |
| Palabra clave: | Bayesian statistical decision theory Water leakage Fault diagnosis Bayesian classifier Water distribution networks Leak localization Estadística bayesiana Aigua-Abastament Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitària Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa |
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Leak localization in water distribution networks using Bayesian classifiersSoldevila Coma, AdriàFernández Canti, Rosa M.|||0000-0002-9381-6601Blesa Izquierdo, Joaquim|||0000-0002-5626-3753Tornil Sin, Sebastián|||0000-0003-1799-2192Puig Cayuela, Vicenç|||0000-0002-6364-6429Bayesian statistical decision theoryWater leakageFault diagnosisBayesian classifierWater distribution networksLeak localizationEstadística bayesianaAigua-AbastamentÀrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitàriaÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativaThis paper presents a method for leak localization in water distribution networks (WDNs) based on Bayesian classifiers. Probability density functions for pressure residuals are calibrated off-line for all the possible leak scenarios by using a hydraulic simulator, and considering the leak size uncertainty, demand uncertainty and sensor noise. A Bayesian classifier is applied on-line to the computed residuals to determine the location of leaks in the WDN. A time horizon based reasoning combined with the Bayesian classifier is also proposed to improve the localization accuracy. Two case studies based on the Hanoi and the Nova Icària networks are used to illustrate the performance of the proposed approach. Simulation results are presented for the Hanoi case study, whereas results for a real leak scenario are shown for the Nova Icària case study.Peer Reviewed20172017-07-0120172017-11-08journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/110151https://dx.doi.org/10.1016/j.jprocont.2017.03.015reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengMinisterio de Economía y Competitividad http://doi.org/10.13039/501100003329 DPI2013-48243-C2-1-R OPERACION EFICIENTE DE INFRAESTRUCTURAS CRITICASMinisterio de Economía y Competitividad http://doi.org/10.13039/501100003329 DPI2014-58104-R CONTROL BASADO EN LA SALUD Y LA RESILIENCIA DE INFRAESTRUCTURAS CRITICAS Y SISTEMAS COMPLEJOSEuropean Commission http://dx.doi.org/10.13039/100011102 Seventh Framework Programme 318556 Efficient Integrated Real-time Monitoring and Control of Drinking Water Networksopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1101512026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
Leak localization in water distribution networks using Bayesian classifiers |
| title |
Leak localization in water distribution networks using Bayesian classifiers |
| spellingShingle |
Leak localization in water distribution networks using Bayesian classifiers Soldevila Coma, Adrià Bayesian statistical decision theory Water leakage Fault diagnosis Bayesian classifier Water distribution networks Leak localization Estadística bayesiana Aigua-Abastament Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitària Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa |
| title_short |
Leak localization in water distribution networks using Bayesian classifiers |
| title_full |
Leak localization in water distribution networks using Bayesian classifiers |
| title_fullStr |
Leak localization in water distribution networks using Bayesian classifiers |
| title_full_unstemmed |
Leak localization in water distribution networks using Bayesian classifiers |
| title_sort |
Leak localization in water distribution networks using Bayesian classifiers |
| dc.creator.none.fl_str_mv |
Soldevila Coma, Adrià Fernández Canti, Rosa M.|||0000-0002-9381-6601 Blesa Izquierdo, Joaquim|||0000-0002-5626-3753 Tornil Sin, Sebastián|||0000-0003-1799-2192 Puig Cayuela, Vicenç|||0000-0002-6364-6429 |
| author |
Soldevila Coma, Adrià |
| author_facet |
Soldevila Coma, Adrià Fernández Canti, Rosa M.|||0000-0002-9381-6601 Blesa Izquierdo, Joaquim|||0000-0002-5626-3753 Tornil Sin, Sebastián|||0000-0003-1799-2192 Puig Cayuela, Vicenç|||0000-0002-6364-6429 |
| author_role |
author |
| author2 |
Fernández Canti, Rosa M.|||0000-0002-9381-6601 Blesa Izquierdo, Joaquim|||0000-0002-5626-3753 Tornil Sin, Sebastián|||0000-0003-1799-2192 Puig Cayuela, Vicenç|||0000-0002-6364-6429 |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Bayesian statistical decision theory Water leakage Fault diagnosis Bayesian classifier Water distribution networks Leak localization Estadística bayesiana Aigua-Abastament Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitària Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa |
| topic |
Bayesian statistical decision theory Water leakage Fault diagnosis Bayesian classifier Water distribution networks Leak localization Estadística bayesiana Aigua-Abastament Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitària Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa |
| description |
This paper presents a method for leak localization in water distribution networks (WDNs) based on Bayesian classifiers. Probability density functions for pressure residuals are calibrated off-line for all the possible leak scenarios by using a hydraulic simulator, and considering the leak size uncertainty, demand uncertainty and sensor noise. A Bayesian classifier is applied on-line to the computed residuals to determine the location of leaks in the WDN. A time horizon based reasoning combined with the Bayesian classifier is also proposed to improve the localization accuracy. Two case studies based on the Hanoi and the Nova Icària networks are used to illustrate the performance of the proposed approach. Simulation results are presented for the Hanoi case study, whereas results for a real leak scenario are shown for the Nova Icària case study. |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017 2017-07-01 2017 2017-11-08 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 AM http://purl.org/coar/version/c_ab4af688f83e57aa |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/110151 https://dx.doi.org/10.1016/j.jprocont.2017.03.015 |
| url |
https://hdl.handle.net/2117/110151 https://dx.doi.org/10.1016/j.jprocont.2017.03.015 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
Ministerio de Economía y Competitividad http://doi.org/10.13039/501100003329 DPI2013-48243-C2-1-R OPERACION EFICIENTE DE INFRAESTRUCTURAS CRITICAS Ministerio de Economía y Competitividad http://doi.org/10.13039/501100003329 DPI2014-58104-R CONTROL BASADO EN LA SALUD Y LA RESILIENCIA DE INFRAESTRUCTURAS CRITICAS Y SISTEMAS COMPLEJOS European Commission http://dx.doi.org/10.13039/100011102 Seventh Framework Programme 318556 Efficient Integrated Real-time Monitoring and Control of Drinking Water Networks |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.source.none.fl_str_mv |
reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
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Universitat Politècnica de Catalunya (UPC) |
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UPCommons. Portal del coneixement obert de la UPC |
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UPCommons. Portal del coneixement obert de la UPC |
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1869411684651630592 |
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15.300719 |