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Reliability modelling and analysis of water distribution network based on backpropagation recursive processes with real field data

cris.lastimport.scopus2024-09-18T01:31:00Z
dc.abstract.enAny water distribution network (WDN) is a key element in critical infrastructure. As time series data min ing and modelling are developing apace, these provide promising tools for the research of water resources management. The aim of this article is to explain how incomplete information on the failures in water mains can be used and processed effectively. The data available and under investigation are the truncated failure field data of a regional water distribution network recorded during the last 15 years. We introduce the application of novel, non-trivial dynamic backpropagation recursive time-series models which are later successfully validated by the recorded data. Real field data of a WDN were used while these data were elaborated with a backpropagation Kalman recursor. The results can be used for predicting the reli ability of a WDN, or as inputs into a water management system to optimise maintenance, crisis manage ment and emergency planning
dc.affiliationTransportu i Informatyki
dc.contributor.authorD. Vališ
dc.contributor.authorK. Hasilová
dc.contributor.authorM. Forbelská
dc.contributor.authorZ. Vintr
dc.date.accessioned2024-07-04T11:39:40Z
dc.date.available2024-07-04T11:39:40Z
dc.date.issued2020
dc.identifier.doi10.1016/j.measurement.2019.107026
dc.identifier.issn0263-2241
dc.identifier.urihttps://repo.akademiawsei.eu/handle/item/367
dc.languageen
dc.pbn.affiliationinformation and communication technology
dc.relation.ispartofMeasurement
dc.rightsCC-BY-NC-SA
dc.subject.enTime series modelling
dc.subject.enDynamic linear models
dc.subject.enWater distribution network
dc.subject.enState-space models
dc.subject.enAnalysing field data
dc.subject.enKalman type recursor
dc.titleReliability modelling and analysis of water distribution network based on backpropagation recursive processes with real field data
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.volume149