Ildeberto Santos-Ruiz

Ildeberto Santos-Ruiz
Tecnologico Nacional de Mexico · Departamento de Ciencias Básicas

Master of Science

About

27
Publications
11,444
Reads
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115
Citations
Citations since 2016
26 Research Items
114 Citations
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Introduction
Ildeberto de los Santos Ruiz (I. Santos-Ruiz) currently works at the Departamento de Ciencias Básicas, Instituto Tecnológico de Tuxtla Gutiérrez, Tecnológico Nacional de México. Ildeberto does research in Electronic Engineering, Mechanical Engineering, Instrumentation and Control. Their current project is "Leak detection in pipelines and water distribution networks".
Additional affiliations
January 1995 - present
Instituto Tecnológico de Tuxtla Gutiérrez
Position
  • Professor (Full)

Publications

Publications (27)
Article
Full-text available
The main contribution of this paper is to present a novel solution for the leak diagnosis problem in branched pipeline systems considering the availability of pressure head and flow rate sensors on the upstream (unobstructed) side and the downstream (constricted) side. This approach is based on a bank of Kalman filters as state observers designed o...
Article
The present work deals with the multi-leak diagnosis problem in a branched pipeline configuration as in water distribution systems. Here, it is assumed that the flow rate and pressure head measurements are available upstream and at all delivering points of the network. The proposed Leak Detection and Isolation (LDI) scheme basically involves two es...
Article
Full-text available
This work proposes a model predictive control (MPC) strategy for pressure management and leakage reduction in a water distribution system (WDS). Unlike most of the reported models that mainly consider EPANET-based models, the proposed method considers its dynamic representation given by ordinary differential equations. The proposed MPC uses a press...
Article
Full-text available
This paper presents a method for optimal pressure sensor placement in water distribution networks using information theory. The criterion for selecting the network nodes where to place the pressure sensors was that they provide the most useful information for locating leaks in the network. Considering that the node pressures measured by the sensors...
Article
Full-text available
Este trabajo propone un esquema de detección y localización de fallas en los actuadores de un vehículo aéreo no tripulado (VANT) del tipo cuadrirrotor. Para ello, se considera un enfoque basado en datos haciendo uso de técnicas de aprendizaje de máquina. En este enfoque se construye un modelo implícito del sistema a través de la información proporc...
Article
The present work addresses the estimation of two interrelated parameters of the fluid flow in pipes. First, a numerical and experimental evaluation of some proposed methods to compute the friction factor in turbulent regime is presented. Special attention is given to an explicit solution obtained through the Lambert W-function. Subsequently, a meth...
Article
Full-text available
This paper presents a proposal to estimate simultaneously, through nonlinear optimization, the roughness and head loss coefficients in a non-straight pipeline. With the proposed technique, the calculation of friction is optimized by minimizing the fitting error in the Colebrook–White equation for an operating interval of the pipeline from the flow...
Article
This paper presents a novel non-invasive monitoring method, based on a Liénard-type model (LTM) to diagnose single and sequential leaks in liquid pipelines. The LTM describes the fluid behavior in a pipeline and is given only in terms of the flow rate. Our method was conceived to be applied in pipelines mono-instrumented with flowmeters or in conju...
Conference Paper
Full-text available
This paper presents a leak localization approach for water distribution networks using classifiers with pressure residuals as input features. This approach is based on applying a non-linear transformation to the residuals of the node pressures to increase the separability of the leak classes. The transformed features can be interpreted as the direc...
Conference Paper
Full-text available
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 f...
Thesis
Full-text available
The present work addresses the issue of fault detection and isolation, in the actuators of an unmanned aerial vehicle (UAV), of the four-engine type, under a data-based approach, using machine learning techniques. In this approach, an implicit model of the system is constructed, through analytical information by various sensors. To meet the develo...
Article
This paper presents a leak localization approach for water distribution networks using classifiers with pressure residuals as input features. This approach is based on applying a non-linear transformation to the residuals of the node pressures to increase the separability of the leak classes. The transformed features can be interpreted as the direc...
Article
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 f...
Conference Paper
Full-text available
Resumen: En este artículo se propone una metodología para la detección de fallas en los actuadores de un Vehículo Aéreo No Tripulado (VANT) del tipo cuatrirrotor. El enfoque propuesto se basa en la técnica de Análisis en Componentes Principales (PCA). Con este método se extraen datos de velocidades angulares en los tres ejes de rotación considerand...
Code
Draws an EPANET network in a new MATLAB figure using geographic axes and satellite maps. Download the latest version of: https://la.mathworks.com/matlabcentral/fileexchange/73001-epanet_map
Conference Paper
This paper proposes a method to predict pressures in all nodes of a water distribution network (WDN) by Gaussian process regression (GPR) from pressure measurements in a subset of selected nodes. The pressure sensors are placed in the nodes where, together, they capture the maximum pressure variance and also have a minimum sensitivity to measuremen...
Code
MATLAB code to compute some physical properties of water dependent on temperature, from 0.1 to 100 celsius. Properties calculated in this version: Kinematic Viscosity, Density, and Bulk Modulus.
Presentation
Full-text available
Screen capture of the program for optimal placement of pressure sensors in water distribution networks. The selected nodes are those where the sensors capture the maximum pressure variance in leakage conditions. Soon the mathematical and computational details will be published.
Article
This paper presents the design of a H∞ sliding mode and an unknown input observer for Takagi-Sugeno (TS) systems. Contrary to the common approaches reported in the literature, which considers exact premise variables, this work deals with the problem of inexact measurements of the premise variables. The proposed method is based on a H∞ criteria to b...
Article
This paper proposes a methodology for leak detection and isolation (LDI) in pipelines based on data fusion from two approaches: a steady-state estimation and an Extended Kalman Filter (EKF). The proposed method considers only pressure head and flow rate measurements at the pipeline ends, which contain intrinsic sensor and process noise. The LDI sys...
Article
Full-text available
Resumen: El presente trabajo tiene dos propósitos. (1) Presentar la evaluación númerica y experimental de algunos métodos propuestos para estimar el factor de fricción en régimen turbulento, entre ellos una solución explícita obtenida mediante la función W 0 de Lambert. (2) Proponer un método para estimar el coeficiente de rugosidad, parámetro requ...
Conference Paper
Full-text available
Este trabajo presenta el modelado y la simulación de una red hidráulica con cuatro nodos y dos ramificaciones que forman un sistema de distribución de agua de dos niveles. Se propone una distribución de válvulas hidráulicas que permite reconfigurar la red para el desarrollo de algoritmos en ductos simples, en redes cerradas y en redes ramificadas....
Article
Full-text available
In this paper, a data-driven system based on PCA is described to detect and quantify fluid leaks in an experimental pipeline. A dynamic PCA implementation (DPCA) was used to capture the process dynamics because the system variables are time-correlated. To detect leaks online, the Hotelling's T2 statistic and the squared prediction error (SPE) were...
Conference Paper
Full-text available
Resumen: Este trabajo presenta el diseño y modelado matemático de una planta piloto para la detección de fugas hidráulicas. El diseño del sistema piloto se realizó en SolidWorks considerando una configuración de serpentín para la optimización del espacio en el laboratorio. Los parámetros del modelo se obtuvieron a través del estudio de las propieda...
Article
Full-text available
En este trabajo se presenta el desarrollo de un prototipo tipo interfaz gráfica de usuario (GUI del inglés Graphic User Interface) para la identificación de sistemas tipo SISO (single input- single output). El GUI pude utilizarse como una alternativa a la interfaz IDENT de MATLAB. Con los algoritmos propuestos es posible identificar y estimar los p...

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Projects

Projects (2)
Project
Diseñar una metodología para detectar y localizar múltiples fugas en redes hidráulicas mediante técnicas de aprendizaje automático basadas en datos.
Project
The aim of this project is to design algorithms to detect leaks in pipelines by considering a combining methodology of model-based and data-driven fault diagnosis approaches. Model-based will be used to obtain an accurate mathematical model of a pipeline system. This information will be used to design fault diagnosis based observers algorithms to detect and isolate leaks by considering extended Kalman filters (EKF), descriptor approaches, state observers, among others. Additionally, data-driven methods, which apply multivariable statistic and machine learning methods, will be used for the same purpose. The idea is to compare the effectiveness and applicability of both methodologies in order to extend it to real pipelines systems. The algorithms will be implemented in a new benchmark of 60m, which is instrumented with pressure and flow sensors located on the extremes of the pipelines.