Publication
Sensor placement for classifier-based leak localization in water distribution networks using hybrid feature selection
Journal Article (2018)
Journal
Computers and Chemical Engineering
Pages
152-162
Volume
108
Doc link
http://dx.doi.org/10.1016/j.compchemeng.2017.09.002
File
Authors
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Soldevila, Adrià
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Blesa Izquierdo, Joaquim
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Tornil Sin, Sebastian
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Fernandez-Cantí, Rosa M.
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Puig Cayuela, Vicenç
Projects associated
Abstract
This paper presents a sensor placement approach for classifier-based leak localization in water distribution networks. The proposed method is based on a hybrid feature selection algorithm that combines the use of a filter based on relevancy and redundancy with a wrapper based on genetic algorithms. This algorithm is applied to data generated by hydraulic simulation of the considered water distribution network and it determines the optimal location of a prespecified number of pressure sensors to be used by a leak localization method based on pressure models and classifiers proposed in previous works by the authors. The method is applied to a small-size simplified network (Hanoi) to better analyze its computational performance and to a medium-size network (Limassol) to demonstrate its applicability to larger real-size networks.
Categories
control theory.
Author keywords
Sensor placement, leak localization, water distribution networks, feature selection, genetic algorithms, classifiers
Scientific reference
A. Soldevila, J. Blesa, S. Tornil-Sin, R.M. Fernandez-Cantí and V. Puig. Sensor placement for classifier-based leak localization in water distribution networks using hybrid feature selection. Computers and Chemical Engineering, 108: 152-162, 2018.
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