Optimal sensor placement for classifier-based leak localization in drinking water networks

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Sep 2016Publisher:IEEEJournal:2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol)Funded by:EC | EFFINET

Authors: Soldevila, Adrià; Tornil-Sin, Sebastian; Fernández Cantí, Rosa M.; Blesa, Joaquim; Puig, Vicenç; Puig, Vicenç;

doi: 10.1109/systol.2016.7739771

handle: 2117/103880 , 10261/166327

Optimal sensor placement for classifier-based leak localization in drinking water networks

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Abstract

This paper presents a sensor placement method for classifier-based leak localization in Water Distribution Networks. The proposed approach consists in applying a Genetic Algorithm to decide the sensors to be used by a classifier (based on the k-Nearest Neighbor approach). The sensors are placed in an optimal way maximizing the accuracy of the leak localization. The results are illustrated by means of the application to the Hanoi District Metered Area and they are compared to the ones obtained by the Exhaustive Search Algorithm. A comparison with the results of a previous optimal sensor placement method is provided as well.

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Related Organizations

Spanish National Research Council
Spain
Universitat Politècnica de Catalunya
Spain
Universitat Polite`cnica de Catalunya
Spain

Keywords

:Informàtica::Automàtica i control [Àrees temàtiques de la UPC], optimal sensor placement, sensor placement, Hanoi district metered area, genetic algorithms, classifier-based leak localization, pattern classification, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, genetic algorithm, Fault diagnosis, drinking water networks, search problems, Aigua potable -- Abastament -- Control automàtic, Classifiers, water supply, exhaustive search algorithm, k-nearest neighbor, Water distribution network, Sensor placement, Model-based, Drinking water -- Automatic control, water distribution networks, transport control.

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