Publication

Sensor placement for classifier-based leak localization in water distribution networks

Book Chapter (2017)

Book Title

Modeling and Monitoring of Pipelines and Networks

Publisher

Springer

Pages

213-233

Volume

7

Serie

Applied Condition Monitoring

Doc link

https://doi.org/10.1007/978-3-319-55944-5_11

File

Download the digital copy of the doc pdf document

Abstract

This chapter presents a sensor placement method for the classifier-based approaches for leak localization in water distribution networks introduced in the previous chapter. The proposed approach formulates the sensor placement problem as a binary optimization problem. Because of the complexity of the problem, it is solved by applying genetic algorithms. In order to reduce the number of sensor configurations to test, a binary matrix that identifies pairs of sensors providing similar information is added as a constraint. The sensors are placed in an optimal way, which maximizes the accuracy of the leak localization . The proposed approach is first illustrated by means of the application to an academic example based on the reduced version of the Hanoi water distribution network . A more realistic case study is then proposed based on the Limassol district metered area.

Categories

automation.

Author keywords

Fault diagnosis, classifiers, water distribution networks, leak localization,sensor placement

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. In Modeling and Monitoring of Pipelines and Networks, 213-233. Springer, 2017.