Examinando por Materia "Matrix algebra"
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Ítem Analysis of relevant variables to monitor a photovoltaic charging station through the Function to Data Matrix (FDM) method(Institution of Engineering and Technology, 2018-01-01) Cárdenas-Gómez I.; Fernández-Montoya M.; Mejía-Gutiérrez R.The growth of the electric vehicle industry has brought the development of charging stations and the need for good performance of such systems. The large amount of information that can be monitored in these systems can represent a problem for a good operation in terms of control, computational cost and time. For this reason, it is necessary to make a selection of variables that allows to decrease the data-set’s size without compromising the quality of information, needed for a proper information management system. There are several methods for prioritizing variables, such as the Function to Data Matrix (FDM). This method takes into account the functional analysis of the system, as well as the operative states and their relationship with the basic functions and variables. This enables to obtain a Variable Relevance Indicator (VRI) to define which variables have a higher importance under a particular perspective based on the main function of a system. This article presents the process of analyzing a photovoltaic charging station through the FDM method in order to define the most relevant information to be deployed in a future remote monitoring system. © 2018 Institution of Engineering and Technology. All rights reserved.Ítem Error estimation and h-adaptive refinement in the analysis of natural frequencies(ELSEVIER SCIENCE BV, 2001-12-01) Fuenmayor, FJ; Restrepo, JL; Tarancon, JE; Baeza, L; Universidad EAFIT. Departamento de Ingeniería Mecánica; Estudios en Mantenimiento (GEMI)This paper deals with the estimation of the discretization error and the definition of an optimum h-adaptive process in the finite element analysis of natural frequencies and modes. Consistent and lumped mass matrices are considered. In the first case, the discretization error essentially proceeds from the stiffness modelization, so it is possible to apply the same error estimators than those considered in static problems. On the other hand, the error associated with the modelization of the inertial properties must be taken into account if lumped mass matrices are used. As far as h-adaptivity is concerned, it is usually interesting to obtain meshes with a specified error for each mode. However, traditional criteria for static problems consider only one load case. Defining the optimum mesh as the one that gets the desired error with the minimum number of elements, a method is proposed for the h-adaptive process taking into account a set of natural modes simultaneously. The proposed methods have been validated by applying them to bi-dimensional test problems. © 2001 Elsevier Science B.V. All rights reserved.Ítem A function to data matrix (FDM) approach for mission variables consideration(EDP Sciences, 2017-01-01) Fernández-Montoya, M.; Mejía-Gutierrez, R.; Osorio-Gómez, G.Precise control of technical system variables in industrial processes and manned and unmanned missions is critical as their results should be achieved plenty. This takes place in Control Rooms (CR) where Operators make decisions based on the large amount of received data. This work proposes a method for weighting variables of a technical system based on their impact on the mission objectives. The relationships between variables and mission functions are defined using a Function to Data Matrix (FDM) in order to allow Operators to determine their criticality. The proposed method was applied for the mission control of the Racing Solar Vehicle Primavera1 which participated in the World Solar Challenge (WSC) 2013 in Australia.Ítem Mesh Segmentation and Texture Mapping for Dimensional Inspection inWeb3D(Association for Computing Machinery, Inc, 2017-01-01) Mejia D.; Sánchez J.R.; Segura Á.; Ruiz-Salguero O.; Posada J.; Cadavid C.; Universidad EAFIT. Departamento de Ingeniería Mecánica; Laboratorio CAD/CAM/CAETraditionally, the data generated by industrial metrology so.ware is stored as static reports that metrology experts produce for engineering and production departments. Nevertheless, industry demands new approaches that provide ubiquitous and real time access to overall geometry, manufacturing and other data. Web3D technologies can help to improve the traditional metrology methods and o.er new ways to convey this information in web-based continuous friendly manner. However, enriched point clouds may be massive, thus presenting transmission and display limitations. To partially overcome these limitations, this article presents an algorithm that computes efficient metrology textures, which are then transferred and displayed through Web3D standards. Texture coordinates are computed only once for the reference CAD mesh on the server using in-house thermal-based segmentation and Hessian-based parameterization algorithms. The metrology data is then encoded in a texture le, which becomes available instantly for interactive visual inspection through the Web3D platform. © 2017 ACM.Ítem Multirate control of an unmanned aerial vehicle(World Scientific and Engineering Academy and Society (WSEAS) Press, 2005-01-01) Vélez S., C.M.; Agudelo, A.; Universidad EAFIT. Escuela de Ciencias; Modelado MatemáticoThe application of multirate sampling to the control of an unmanned aerial vehicle (a mini-helicopter robot) using CACSD tools, developed specially for that goal, is presented. Multirate control is tested via simulation over the Matlab/Simulink mini-helicopter model, which is briefly described. A multirate modeling method is presented, which is the base of a CACSD tool for the modeling, simulation and real-time code generation of multirate control systems - the Multirate Control Toolbox (MCT).