Sensors 2013, 13(11), 14984-15005; doi:10.3390/s131114984
Article

Optimal Sensor Placement for Leak Location in Water Distribution Networks Using Genetic Algorithms

1 Supervision and Advanced Control Chair, Tecnológico de Monterrey, Campus Monterrey, Av. Eugenio Garza Sada 2501, Monterrey 64849, Mexico 2 SAC Research Group, Institut de Robótica i Informàtica Industrial (IRI-CSIC), Universitat Politècnica de Catalunya (UPC), Llorens i Artigues, 4-6, Barcelona 08028, Spain 3 Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, 4, rue Alphonse Weicker L-2721, Luxembourg
* Author to whom correspondence should be addressed.
Received: 5 August 2013; in revised form: 19 October 2013 / Accepted: 23 October 2013 / Published: 4 November 2013
(This article belongs to the Special Issue Sensors for Fluid Leak Detection)
PDF Full-text Download PDF Full-Text [362 KB, Updated Version, uploaded 5 November 2013 13:32 CET]
The original version is still available [371 KB, uploaded 4 November 2013 13:48 CET]
Abstract: This paper proposes a new sensor placement approach for leak location in water distribution networks (WDNs). The sensor placement problem is formulated as an integer optimization problem. The optimization criterion consists in minimizing the number of non-isolable leaks according to the isolability criteria introduced. Because of the large size and non-linear integer nature of the resulting optimization problem, genetic algorithms (GAs) are used as the solution approach. The obtained results are compared with a semi-exhaustive search method with higher computational effort, proving that GA allows one to find near-optimal solutions with less computational load. Moreover, three ways of increasing the robustness of the GA-based sensor placement method have been proposed using a time horizon analysis, a distance-based scoring and considering different leaks sizes. A great advantage of the proposed methodology is that it does not depend on the isolation method chosen by the user, as long as it is based on leak sensitivity analysis. Experiments in two networks allow us to evaluate the performance of the proposed approach.
Keywords: water distribution networks; leak isolation; sensor placement; sensitivity analysis

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Casillas, M.V.; Puig, V.; Garza-Castañón, L.E.; Rosich, A. Optimal Sensor Placement for Leak Location in Water Distribution Networks Using Genetic Algorithms. Sensors 2013, 13, 14984-15005.

AMA Style

Casillas MV, Puig V, Garza-Castañón LE, Rosich A. Optimal Sensor Placement for Leak Location in Water Distribution Networks Using Genetic Algorithms. Sensors. 2013; 13(11):14984-15005.

Chicago/Turabian Style

Casillas, Myrna V.; Puig, Vicenҫ; Garza-Castañón, Luis E.; Rosich, Albert. 2013. "Optimal Sensor Placement for Leak Location in Water Distribution Networks Using Genetic Algorithms." Sensors 13, no. 11: 14984-15005.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert