Burst Detection in Water Networks Using Principal Component Analysis
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7035
comunitat-uji-handle3:10234/8617
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Título
Burst Detection in Water Networks Using Principal Component AnalysisFecha de publicación
2012Editor
American Society of Civil EngineersISSN
0733-0504Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29WR.1943-5452.0000147Palabras clave / Materias
Resumen
The following work presents a multivariate statistical technique applied to the control of water inflows into district metering areas (DMA) of urban networks. This technique, called Principal Component Analysis (PCA), ... [+]
The following work presents a multivariate statistical technique applied to the control of water inflows into district metering areas (DMA) of urban networks. This technique, called Principal Component Analysis (PCA), allows for a sensitive and quick analysis of the inflows into a DMA without hassling mathematical algorithms. PCA technique simplifies the original set of flow rate data recorded by the SCADA system, synthesizing the most significant information into a statistical model which is able to explain most of the behaviour of the water distribution network. PCA technique also allows for the establishment of control charts that help system operators in the identification of anomalous behaviours regarding water use, bursts or illegal connections. The described technique has been proved to offer high detection sensitivity to bursts or other unexpected consumptions. [-]
Publicado en
Journal of Water Resources Planning and Management, vol. 138, issue 1Derechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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