2026-04-14T04:55:50Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4116622026-02-04T07:48:57Zcom_2072_1033col_2072_452950

Learning dictionaries from physical-based interpolation for water network leak localization Irofti, Paul Romero Ben, Luis Stoican, Florin Puig Cayuela, Vicenç Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control Àrees temàtiques de la UPC::Informàtica::Automàtica i control Leak detectors Water -- Distribution Dictionary learning Interpolation Leak localization State estimation Water distribution network Detectors de fuites Aigua -- Distribució © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works This article presents a leak localization methodology based on state estimation and learning. The first is handled by an interpolation scheme, whereas dictionary learning (DL) is considered for the second stage. The novel proposed interpolation technique exploits the physics of the interconnections between hydraulic heads of neighboring nodes in water distribution networks (WDNs). In addition, residuals are directly interpolated instead of hydraulic head values. The results of applying the proposed method to a well-known case study (Modena) demonstrated the improvements of the new interpolation method with respect to a state-of-the-art approach, both in terms of interpolation error (considering state and residual estimation) and posterior localization. Peer Reviewed Postprint (author's final draft) 2024-05 Article Irofti, P. [et al.]. Learning dictionaries from physical-based interpolation for water network leak localization. "IEEE transactions on control systems technology", Maig 2024, vol. 32, núm. 3, p. 755-766. 1063-6536 https://hdl.handle.net/2117/411662 10.1109/TCST.2023.3329696 eng https://ieeexplore.ieee.org/document/10316245 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115905RB-C21/ES/SUPERVISION Y CONTROL TOLERANTE A FALLOS DE INFRAESTRUCTURAS INTELIGENTES BASADO EN APRENDIZAJE AVANZADO Y OPTIMIZACION/ Open Access 12 p. application/pdf