Improving pipe failure predictions: Factors effecting pipe failure in drinking water networks

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dc.contributor.authorBarton, Neal A.
dc.contributor.authorFarewell, Timothy S.
dc.contributor.authorHallett, Stephen H.
dc.contributor.authorAcland, Timothy F.
dc.date.accessioned2019-07-31T13:13:49Z
dc.date.available2019-07-31T13:13:49Z
dc.date.issued2019-07-29
dc.description.abstractTo reduce leakage and improve service levels, water companies are increasingly using statistical models of pipe failure using infrastructure, weather and environmental data. However, these models are often built by environmental data scientists with limited in-field experience of either fixing pipes or recording data about network failures. As infrastructure data can be inconsistent, incomplete and incorrect, this disconnect between model builders and field operatives can lead to logical errors in how datasets are interpreted and used to create predictive models. An improved understanding of pipe failure can facilitate improved selection of model inputs and the modelling approach. To enable data scientists to build more accurate predictive models of pipe failure, this paper summarises typical factors influencing failure for 5 common groups of materials for water pipes: 1) cast and spun iron, 2) ductile iron, 3) steel, 4) asbestos cement, 5) polyvinyl chloride (PVC) and 6) polyethylene (PE) pipes. With an improved understanding of why and how pipes fail, data scientists can avoid misunderstanding and misusing infrastructure and environmental data, and build more accurate models of infrastructure failure.en_UK
dc.identifier.citationBarton NA, Farewell TS, Hallett SH, Acland TF. (2019) Improving pipe failure predictions: Factors effecting pipe failure in drinking water networks. Water Research, Volume 164, November 2019, Article number 114926en_UK
dc.identifier.cris24016248
dc.identifier.issn0043-1354
dc.identifier.urihttps://doi.org/10.1016/j.watres.2019.114926
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/14403
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPipe failureen_UK
dc.subjectWater supplyen_UK
dc.subjectInfrastructure planningen_UK
dc.subjectEnvironmenten_UK
dc.subjectSoilen_UK
dc.titleImproving pipe failure predictions: Factors effecting pipe failure in drinking water networksen_UK
dc.typeArticleen_UK

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