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Article

A Leak Zone Location Approach in Water Distribution Networks Combining Data-Driven and Model-Based Methods

1
Automation and Computing Department, Universidad Tecnológica de La Habana José Antonio Echeverría, CUJAE, Marianao, La Habana 19390, Cuba
2
Institute for Software Integrated Systems, Vanderbilt University, Nashville, TN 37235, USA
3
Instituto de Ingeniería, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
*
Author to whom correspondence should be addressed.
Academic Editor: Vicenç Puig
Water 2021, 13(20), 2924; https://doi.org/10.3390/w13202924
Received: 31 August 2021 / Revised: 29 September 2021 / Accepted: 2 October 2021 / Published: 18 October 2021
Model-based and data-driven methods are commonly used in leak location strategies in water distribution networks. This paper formulates a hybrid methodology in two stages that complements the advantages and disadvantages of data-driven and model-based strategies. In the first stage, a support vector machine multiclass classifier is used to reduce the search space for the leak location task. In the second stage, leak location task is formulated as an inverse problem, and solved using a variation of the differential evolution algorithm called topological differential evolution. The robustness of the method is tested considering measurement and varying demand uncertainty conditions ranging from 5 to 15% of node nominal demands. The performance of the hybrid method is compared to the support vector machine classifier and topological differential evolution approaches as standalone methods of leak location. The hybrid proposal shows higher performance in terms of location accuracy, zone size, and computational load. View Full-Text
Keywords: leak zone location; data-driven and model-based methods leak zone location; data-driven and model-based methods
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MDPI and ACS Style

Ares-Milián, M.J.; Quiñones-Grueiro, M.; Verde, C.; Llanes-Santiago, O. A Leak Zone Location Approach in Water Distribution Networks Combining Data-Driven and Model-Based Methods. Water 2021, 13, 2924. https://doi.org/10.3390/w13202924

AMA Style

Ares-Milián MJ, Quiñones-Grueiro M, Verde C, Llanes-Santiago O. A Leak Zone Location Approach in Water Distribution Networks Combining Data-Driven and Model-Based Methods. Water. 2021; 13(20):2924. https://doi.org/10.3390/w13202924

Chicago/Turabian Style

Ares-Milián, Marlon J., Marcos Quiñones-Grueiro, Cristina Verde, and Orestes Llanes-Santiago. 2021. "A Leak Zone Location Approach in Water Distribution Networks Combining Data-Driven and Model-Based Methods" Water 13, no. 20: 2924. https://doi.org/10.3390/w13202924

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