Publication
Leak localization in water distribution networks using pressure models and classifiers
Book Chapter (2017)
Book Title
Modeling and Monitoring of Pipelines and Networks
Publisher
Springer
Pages
191-212
Volume
6
Serie
Applied Condition Monitoring
Doc link
https://doi.org/10.1007/978-3-319-55944-5_10
File
Authors
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Soldevila, Adrià
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Tornil Sin, Sebastian
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Blesa Izquierdo, Joaquim
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Fernandez-Cantí, Rosa M.
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Puig Cayuela, Vicenç
Projects associated
Abstract
This chapter proposes an architecture and an associate methodology for leak localization in Water Distribution Networks (WDN) that are based on pressure models and classifiers. In a first stage of the proposed architecture, residuals are obtained by comparing available pressure measurements with the estimations provided by a WDN model. In a second stage, a classifier is applied to the residuals with the aim of determining the leak location. The classifier is trained with data generated by simulation of the WDN under different leak scenarios and uncertainty conditions. Several classification approaches are considered and compared. The proposed methodology is tested both using synthetic and experimental data with real WDNs of different sizes. The comparison with the current approaches shows a performance improvement.
Categories
automation.
Author keywords
Fault diagnosis, classifiers, water distribution networks, leak localization
Scientific reference
A. Soldevila, S. Tornil-Sin, J. Blesa, R.M. Fernandez-Cantí and V. Puig. Leak localization in water distribution networks using pressure models and classifiers. In Modeling and Monitoring of Pipelines and Networks, 191-212. Springer, 2017.
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