Feature extraction in pressure signals for leak detection in water networks
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://www.sciencedirect.com/science/article/pii/S1877705814000770 http://hdl.handle.net/11449/122478 |
Resumo: | Techniques 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. |
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Repositório Institucional da UNESP |
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Feature extraction in pressure signals for leak detection in water networksLeakage detectionfeature extractionsignals analysiswater supply systemTechniques 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.Universidade 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 PretoUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Gamboa-Medina, Maria MercedesReis, Luisa Fernanda RibeiroGuido, Rodrigo Capobianco [UNESP]2015-04-27T11:55:47Z2015-04-27T11:55:47Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article688-697application/pdfhttp://www.sciencedirect.com/science/article/pii/S1877705814000770Procedia Engineering, v. 70, p. 688-697, 2014.1877-7058http://hdl.handle.net/11449/12247810.1016/j.proeng.2014.02.075ISSN1877-7058-2014-70-688-697.pdf65420862268080670000-0002-0924-8024Currículo Lattesreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProcedia Engineering0,282info:eu-repo/semantics/openAccess2023-10-12T06:04:16Zoai:repositorio.unesp.br:11449/122478Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:40:52.898996Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Feature extraction in pressure signals for leak detection in water networks |
title |
Feature extraction in pressure signals for leak detection in water networks |
spellingShingle |
Feature extraction in pressure signals for leak detection in water networks Gamboa-Medina, Maria Mercedes Leakage detection feature extraction signals analysis water supply system |
title_short |
Feature extraction in pressure signals for leak detection in water networks |
title_full |
Feature extraction in pressure signals for leak detection in water networks |
title_fullStr |
Feature extraction in pressure signals for leak detection in water networks |
title_full_unstemmed |
Feature extraction in pressure signals for leak detection in water networks |
title_sort |
Feature extraction in pressure signals for leak detection in water networks |
author |
Gamboa-Medina, Maria Mercedes |
author_facet |
Gamboa-Medina, Maria Mercedes Reis, Luisa Fernanda Ribeiro Guido, Rodrigo Capobianco [UNESP] |
author_role |
author |
author2 |
Reis, Luisa Fernanda Ribeiro Guido, Rodrigo Capobianco [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Gamboa-Medina, Maria Mercedes Reis, Luisa Fernanda Ribeiro Guido, Rodrigo Capobianco [UNESP] |
dc.subject.por.fl_str_mv |
Leakage detection feature extraction signals analysis water supply system |
topic |
Leakage detection feature extraction signals analysis water supply system |
description |
Techniques 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. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 2015-04-27T11:55:47Z 2015-04-27T11:55:47Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.sciencedirect.com/science/article/pii/S1877705814000770 Procedia Engineering, v. 70, p. 688-697, 2014. 1877-7058 http://hdl.handle.net/11449/122478 10.1016/j.proeng.2014.02.075 ISSN1877-7058-2014-70-688-697.pdf 6542086226808067 0000-0002-0924-8024 |
url |
http://www.sciencedirect.com/science/article/pii/S1877705814000770 http://hdl.handle.net/11449/122478 |
identifier_str_mv |
Procedia Engineering, v. 70, p. 688-697, 2014. 1877-7058 10.1016/j.proeng.2014.02.075 ISSN1877-7058-2014-70-688-697.pdf 6542086226808067 0000-0002-0924-8024 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Procedia Engineering 0,282 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
688-697 application/pdf |
dc.source.none.fl_str_mv |
Currículo Lattes reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128399580856320 |