An autonomous and multiplatform virtual laboratory for educational purposes is presented. The implemented platform includes a server with a SSH (Secure SHell) connection and a separated repository containing the virtual ...

This paper addresses the problem of fault detection and isolation of wind turbines using a mixed Bayesian/Set-membership approach. Modeling errors are assumed to be unknown but bounded, following the set-membership approach. ...

Se presenta un laboratorio virtual autónomo y multiplataforma para docencia. La plataforma implementada incluye un servidor con conexión SSH (Secure SHell) y un repositorio separado que contiene los experimentos virtuales. ...

This paper presents a Kriging data-based method for leak localization in Water Distribution Networks (WDNs). Given a set of sensors that provide pressure measurements in some inner nodes of the WDN, a WDN data-driven model ...

This paper presents a method for leak localization in water distribution networks (WDNs) based on Bayesian classifiers. Probability density functions for pressure residuals are calibrated off-line for all the possible leak ...

In this paper we present a modular system for remote monitoring and control of energy consumption. In particular, we demonstrate the application of the proposed system for electric energy monitoring and control in domestic ...

This paper deals with the problem of nonlinear set-membership identification and fault detection using a Bayesian framework. The paper presents how the set-membership model estimation can be reformulated from a Bayesian ...

This paper deals with the problem of setmembership identification of nonlinear-in-the-parameters models. To solve this problem a Bayesian approach is presented. The paper illustrates how the Bayesian approach can be used ...