Search results for "Industrial engineering"

showing 10 items of 835 documents

E-maintenance platform: a business process modelling approach

2014

Las tecnologías de la información y la comunicación (TIC) se utilizan cada vez más en la sociedad y en los negocios. Las TIC se han convertido en un elemento clave para el desarrollo empresarial y la mejora de las actividades en todos los departamentos de una organización. Análogamente, la creciente importancia de los Sistemas de Gestión de Mantenimiento asistido por Ordenador (CMMS), Mantenimiento Basado en la Condición (CBM), y la aplicación de dispositivos remotos y funciones como el e-mantenimiento, han abierto grandes posibilidades para la optimización del mantenimiento. Estas técnicas han dado lugar a la aparición de retos tecnológicos, tales como la interoperabilidad entre diferentes…

lcsh:TN1-9970209 industrial biotechnologyEngineeringCBMInteroperabilityContext (language use)02 engineering and technologylcsh:Technology020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringlcsh:Mining engineering. MetallurgyE-Maintenancebusiness.industrylcsh:TCMMS CBM E-Maintenance UML MIMOSACondition-based maintenanceGeneral EngineeringCMMSBusiness process modelingUMLEngineering managementData modelInformation and Communications TechnologyComputerized maintenance management systemSystems architectureSystems engineering020201 artificial intelligence & image processingbusinessMIMOSA.
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Optimizing the Shape of Welded Constructions Made through the Technique “Temper Bead Welding”

2020

Welded constructions are subject to high stresses during operation. One solution for improving the behavior in exploitation of welded constructions in various cases is to use the welding technique “temper bead welding” (TBW). In the paper, the optimization of the geometry of the welded joints by the TBW technique was performed. Thus, corner welded joints made of S355 steel were analyzed. To make the welded joints, three layers of welding seams were deposited, and the intermediate layers were processed through cutting with various radii. To analyze the influence of the size of these rays on the behavior of welded constructions, a research program based on factorial experiences wa…

lcsh:TN1-9970209 industrial biotechnologyHeat-affected zoneMaterials sciencedesign02 engineering and technologyWeldinglaw.inventionBead (woodworking)constructive optimization020901 industrial engineering & automationlawFerrite (iron)temper bead weldingdesign; welded construction; constructive optimization; temper bead welding; corner welded jointGeneral Materials ScienceFatigue stressComposite materiallcsh:Mining engineering. Metallurgywelded constructionMetals and Alloys021001 nanoscience & nanotechnologyMicrostructurecorner welded jointPearlite0210 nano-technologyMetals; Volume 10; Issue 12; Pages: 1655
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Quantitative Approximation Properties for the Fractional Heat Equation

2017

In this note we analyse \emph{quantitative} approximation properties of a certain class of \emph{nonlocal} equations: Viewing the fractional heat equation as a model problem, which involves both \emph{local} and \emph{nonlocal} pseudodifferential operators, we study quantitative approximation properties of solutions to it. First, relying on Runge type arguments, we give an alternative proof of certain \emph{qualitative} approximation results from \cite{DSV16}. Using propagation of smallness arguments, we then provide bounds on the \emph{cost} of approximate controllability and thus quantify the approximation properties of solutions to the fractional heat equation. Finally, we discuss genera…

osittaisdifferentiaaliyhtälöt0209 industrial biotechnologyClass (set theory)Control and Optimizationfractional parabolic Calderón problemPseudodifferential operatorsApplied Mathematics010102 general mathematics02 engineering and technologyType (model theory)nonlocal operators [cost of approximation]01 natural sciencesinversio-ongelmatControllabilityMathematics - Analysis of PDEsweak unique continuation [Runge approximation]020901 industrial engineering & automationFOS: MathematicsApplied mathematicsHeat equationapproksimointi0101 mathematicsMathematicsAnalysis of PDEs (math.AP)
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Iterative Learning Applied to Hydraulic Pressure Control

2018

This paper addresses a performance limiting phenomenon that may occur in the pressure control of hydraulic actuators subjected to external velocity disturbances. It is demonstrated that under certain conditions a severe peaking of the control error may be observed that significantly degrades the performance of the system due to the presence of nonlinearities. The phenomenon is investigated numerically and experimentally using a system that requires pressure control of two hydraulic cylinders. It is demonstrated that the common solution of feed forwarding the velocity disturbance is not effective in reducing the peaking that occurs as a result of this phenomenon. To improve the system perfor…

peaking phenomenon0209 industrial biotechnologylimit cyclesComputer scienceControl (management)Iterative learning controliterative learning controlHydraulic pressure control02 engineering and technologyHydraulic pressurelcsh:QA75.5-76.95Computer Science Applications020901 industrial engineering & automationControl and Systems EngineeringControl theoryModeling and Simulation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceSoftwareModeling, Identification and Control: A Norwegian Research Bulletin
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Automated Railway Signs Detection. Preliminary Results

2019

Abstract Nowadays safety in railways is mostly achieved by automated system technologies such as ERTMS/ETCS. Nevertheless, on local railways (suburban and regional lines) several tasks still depend on the choices and actions of a human crew. With the aim to improve safety in such type of railways, this research proposes a system for the automatic detection and recognition of railway signs by means of the digital image processing technique. First field applications, carried out on the Italian railway network, show that the proposed system is very accurate (the percentage of correctly detected railway signs is about 97%), even at high train speeds.

railway safety050210 logistics & transportation0209 industrial biotechnologyComputer science05 social sciencesGeneral Engineering02 engineering and technologyK4011-4343Transportation and communicationrailway sign detection and recognitionComputer Science Applications020901 industrial engineering & automation0502 economics and businessdigital image processing techniqueRailway safety digital image processing technique railway sign detection and recognitionRailway safetyTransport and Telecommunication Journal
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Improving Scalable K-Means++

2021

Two new initialization methods for K-means clustering are proposed. Both proposals are based on applying a divide-and-conquer approach for the K-means‖ type of an initialization strategy. The second proposal also uses multiple lower-dimensional subspaces produced by the random projection method for the initialization. The proposed methods are scalable and can be run in parallel, which make them suitable for initializing large-scale problems. In the experiments, comparison of the proposed methods to the K-means++ and K-means‖ methods is conducted using an extensive set of reference and synthetic large-scale datasets. Concerning the latter, a novel high-dimensional clustering data generation …

random projectionlcsh:T55.4-60.8K-means++algoritmitclustering initializationalgoritmiikkalcsh:Industrial engineering. Management engineeringklusterianalyysilcsh:Electronic computers. Computer sciencetiedonlouhintaK-means‖lcsh:QA75.5-76.95
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Active disturbance rejection control of linear induction motor

2017

This paper proposes the theoretical framework and the experimental application of the active disturbance rejection control to linear induction motors. Such a nonlinear control (ADRC) technique can be viewed as a particular kind of input-output linearization control, where the nonlinear transformation of the state is not computed by means of the model, but it is estimated online. Such an approach permits to cope with unmodelling dynamics, as well as uncertainty in the knowledge of the model parameters and exogenous disturbances. The effectiveness of the proposed ADRC control law has been verified both by numerical simulations and experimentally on a suitably developed test setup. Moreover, t…

rejection of disturbanceEngineering0209 industrial biotechnologyExtended state observer (ESO)rejection of disturbancesComputer scienceLinear induction motor02 engineering and technologyNonlinear controlInductorActive disturbance rejection controlIndustrial and Manufacturing Engineeringextended state observer020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theoryLinearizationstate feedback control0202 electrical engineering electronic engineering information engineeringlinear induction motor (LIM)Feedback linearizationElectrical and Electronic EngineeringTest setupbusiness.industry020208 electrical & electronic engineeringControl engineeringTransformation (function)Control and Systems EngineeringLinear induction motorA priori and a posterioriState (computer science)Robust controlbusinessNonlinear transformationInduction motor
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Why Use Interactive Multi-Objective Optimization in Chemical Process Design?

2008

Problems in chemical engineering, like most real-world optimization problems, typically, have several conflicting performance criteria or objectives and they often are computationally demanding, which sets special requirements on the optimization methods used. In this chapter, we point out some shortcomings of some widely used basic methods of multi-objective optimization. As an alternative, we suggest using interactive approaches where the role of a decision maker or a designer is emphasized. Interactive multi-objective optimization has been shown to suit well for chemical process design problems because it takes the preferences of the decision maker into account in an iterative manner tha…

scalarizationPareto optimalityOptimization problemComputer scienceCompromisemedia_common.quotation_subjectProcess designcomputer.software_genreUSableMulti-objective optimizationMultiple criteria decision making (MCDM)Conflicting objectiveskemian tekniikkaPareto-optimaalisuusMonitavoitteinen päätöksenteko (MCDM)media_commonPoint (typography)Multimediainteraktiiviset menetelmätInformation and Computer Scienceskalarisointiinteractive methodsIndustrial engineeringmonitavoitteinen päätöksentekochemical engineeringcomputer
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Numerical methods for a nonlinear impact model: A comparative study with closed-form corrections

2011

A physically based impact model-already known and exploited in the field of sound synthesis-is studied using both analytical tools and numerical simulations. It is shown that the Hamiltonian of a physical system composed of a mass impacting on a wall can be expressed analytically as a function of the mass velocity during contact. Moreover, an efficient and accurate approximation for the mass outbound velocity is presented, which allows to estimate the Hamiltonian at the end of the contact. Analytical results are then compared to numerical simulations obtained by discretizing the system with several numerical methods. It is shown that, for some regions of the parameter space, the trajectorie…

sound synthesis0209 industrial biotechnologyMathematical optimizationnumerical analysisaudio signal processingAcoustics and UltrasonicsDiscretizationComputer sciencePhysical system02 engineering and technologyParameter spaceEnergy conservationsymbols.namesake020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringComputer simulationSettore INF/01 - Informaticasound synthesis; numerical analysis; audio signal processingNumerical analysisMathematical analysisphysics computing020207 software engineeringimpact modelingimpact soundsEnergy conservationNonlinear systemnumerical simulationsymbolsnonlinear dynamical systemHamiltonian (quantum mechanics)
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Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system

2017

We tackle three different challenges in solving a real-world industrial problem: formulating the optimization problem, connecting different simulation tools and dealing with computationally expensive objective functions. The problem to be optimized is an air intake ventilation system of a tractor and consists of three computationally expensive objective functions. We describe the modeling of the system and its numerical evaluation with a commercial software. To obtain solutions in few function evaluations, a recently proposed surrogate-assisted evolutionary algorithm K-RVEA is applied. The diameters of four different outlets of the ventilation system are considered as decision variables. Fr…

ta1130209 industrial biotechnologyMathematical optimizationnumerical modelsOptimization problemlineaarinen optimointiLinear programmingComputer sciencesoftwarehydraulijärjestelmätventilationEvolutionary algorithmlinear programming02 engineering and technologyFunction (mathematics)Set (abstract data type)resistance020901 industrial engineering & automationhydraulic systemsilmanvaihto0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingShape optimizationoptimization
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