Publication

Sensor placement for classifer-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

Download the digital copy of the doc pdf document

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 classifer-based leak localization in water distribution networks using hybrid feature selection. Computers and Chemical Engineering, 108: 152-162, 2018.