Leak-Diagnosis Approach for Water Distribution Networks based on a k-NN Classification Algorithm - Modelling and Optinal Decision for Uncertain Systems Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Leak-Diagnosis Approach for Water Distribution Networks based on a k-NN Classification Algorithm

Résumé

This paper proposes an approach based on a k-Nearest Neighbour classification algorithm (k-NN) to identify regions in a water distribution network (WDN) that are affected under presence of leaks. The classification algorithm is trained with numerical data coming from a MATLAB simulator based on a dynamic model of the WDN that involve leaks in its formulation. Concretely, the training is done by using the numerical solutions of a dynamic model of the WDN under several leak cases. The dynamic model is formulated by taking into account typical assumptions of the rigid water column (RWC) theory and using the graph theory. The proposed approach was evaluated in a hydraulic pilot plant.

Dates et versions

hal-02868624 , version 1 (15-06-2020)

Identifiants

Citer

José-Roberto Bermúdez, López-Estrada Francisco-Ronay, Gildas Besancon, Torres Lizeth, Ildeberto de Los Santos Ruiz. Leak-Diagnosis Approach for Water Distribution Networks based on a k-NN Classification Algorithm. IFAC WC 2020 - 21st IFAC World Congress, Jul 2020, Berlin (virtual), Germany. ⟨10.1016/j.ifacol.2020.12.795⟩. ⟨hal-02868624⟩
47 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More