Feature extraction in pressure signals for leak detection in water networks

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dc.contributor.authorGamboa-Medina, Maria Mercedes
dc.contributor.authorReis, Luisa Fernanda Ribeiro
dc.contributor.authorGuido, Rodrigo Capobianco [UNESP]
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2015-04-27T11:55:47Z
dc.date.available2015-04-27T11:55:47Z
dc.date.issued2014
dc.description.abstractTechniques based on signal analysis for leak detection in water supply systems typically use long pressure and/or flow data series of variable length. This paper presents the feature extraction from pressure signals and their application to the identification of changes related to the onset of a leak. Example signals were acquired from an experimental laboratory circuit, and features were extracted from temporal domain and from transformed signals. Statistical analysis of features values and a classification method were applied. It was verified the feasibility of using feature vectors for distinguish data acquired in the absence or presence of a leak.en
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Ciência da Computação e Estatística, Instituto de Biociências Letras e Ciências Exatas de São José do Rio Preto
dc.format.extent688-697
dc.identifierhttp://www.sciencedirect.com/science/article/pii/S1877705814000770
dc.identifier.citationProcedia Engineering, v. 70, p. 688-697, 2014.
dc.identifier.doi10.1016/j.proeng.2014.02.075
dc.identifier.fileISSN1877-7058-2014-70-688-697.pdf
dc.identifier.issn1877-7058
dc.identifier.lattes6542086226808067
dc.identifier.orcid0000-0002-0924-8024
dc.identifier.urihttp://hdl.handle.net/11449/122478
dc.language.isoeng
dc.relation.ispartofProcedia Engineering
dc.relation.ispartofsjr0,282
dc.rights.accessRightsAcesso aberto
dc.sourceCurrículo Lattes
dc.subjectLeakage detectionen
dc.subjectfeature extractionen
dc.subjectsignals analysisen
dc.subjectwater supply systemen
dc.titleFeature extraction in pressure signals for leak detection in water networksen
dc.typeArtigo
unesp.author.lattes6542086226808067[3]
unesp.author.orcid0000-0002-0924-8024[3]
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt

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Artigos - Ciência da Computação e Estatística - IBILCE