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

被引：5

作者：

Bermudez, J. R. ^{[1
]}

Lopez-Estrada, F. R. ^{[1
]}

Besancon, G. ^{[2
]}

Torres, L. ^{[3
]}

Santos-Ruiz, I ^{[1
]}

机构：

[1] Tecnol Nacl Mexico, IT Tuxtla Gutierrez, TURIX Dynam Diag & Control Grp, Carretera Panamer Km 1080, Tuxtla Gutierrez, Chiapas, Mexico

[2] Univ Grenoble Alpes, Grenoble INP, CNRS, GIPSA Lab, F-38000 Grenoble, France

[3] Univ Nacl Autonoma Mexico, Inst Ingn, Ciudad De Mexico 04510, Mexico

来源：

IFAC PAPERSONLINE | 2020年 / 53卷 / 02期

关键词：

Hydraulic network; leak diagnosis; pressure reduction; pipeline modeling; water distribution networks; MODEL;

D O I：

10.1016/j.ifacol.2020.12.795

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. Copyright (C) 2020 The Authors.

引用

页码：16651 / 16656

页数：6

共 17 条

[1] Real-Time Dynamic Hydraulic Model of Water Distribution Networks [J].