Search results for " machine"

showing 10 items of 1317 documents

Maximum Torque Per Ampere control algorithm for low saliency ratio interior permanent magnet synchronous motors

2017

This paper presents an investigation on the comparison between the Maximum Torque Per Ampere (MTPA) and the Field Orientation Control (FOC) algorithms for interior permanent magnet synchronous machines (IPMSMs). In particular, this study was carried out on a small-power IPMSM with low salience ratio. Both control algorithms have been implemented in the Matlab/Simulink environment, obtaining promising results.

010302 applied physicsControl algorithmMaximum torque per ampere control algorithmPermanent magnet synchronous motorComputer scienceRenewable Energy Sustainability and the Environment020208 electrical & electronic engineeringEnergy Engineering and Power Technology02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici01 natural sciencesField oriented control algorithmField orientationSalience (neuroscience)Control theoryMagnet0103 physical sciences0202 electrical engineering electronic engineering information engineeringInterior permanent magnet synchronous machineMATLABAmperecomputerMaximum torquecomputer.programming_language
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Early detection and classification of bearing faults using support vector machine algorithm

2017

Bearings are one of the most critical elements in rotating machinery systems. Bearing faults are the main reason for failures in electrical motors and generators. Therefore, early bearing fault detection is very important to prevent critical system failures in the industry. In this paper, the support vector machine algorithm is used for early detection and classification of bearing faults. Both time and frequency domain features are used for training the support vector machine learning algorithm. The trained classier can be employed for real-time bearing fault detection and classification. By using the proposed method, the bearing faults can be detected at early stages, and the machine oper…

010302 applied physicsElectric motorEngineeringBearing (mechanical)business.industry020208 electrical & electronic engineeringFeature extractionPattern recognition02 engineering and technology01 natural sciencesFault detection and isolationlaw.inventionSupport vector machineStatistical classificationlawFrequency domain0103 physical sciences0202 electrical engineering electronic engineering information engineeringArtificial intelligencebusinessTest data2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
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The helicoidal magnetic generator

2016

Recently helicoidal generator for the exploitation of sea wave energy has been proposed. This device can convert both the vertical and rotational movement of seawaves. The electrical energy generated by such a device must be converted and conditioned in order to match the instantaneous utility requirements and a power link from the sea to an interconnection is needed. In this paper, the authors propose a mathematical model of this device and preliminarily present a prototype of the machine.

010302 applied physicsInterconnectionEngineeringbusiness.industryLinear asynchronous generatorElectric potential energy05 social sciencesElectrical engineeringOcean EngineeringPermanent magnet synchronous generatorElectric machineSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciInductorOceanography01 natural sciencesPower (physics)Generator (circuit theory)Electromagnetic coil0502 economics and business0103 physical sciencesbusinessInstrumentation050203 business & managementEnergy (signal processing)Sea waves energy
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A Planar Generator for a Wave Energy Converter

2019

This article presents a permanent magnet planar translational generator which is able to exploit multiple modes of sea wave energy extraction. Linear electrical generators have recently been studied for the exploitation of sea wave energy, but, to the best of our knowledge, no synchronous planar translational generator has been proposed. In this article, to maximize the energy extraction, we have considered all the potential modes of motion due to wave excitation and included them within the mathematical model of the proposed system. The principle of operation of the generator can be summarized as follows: the moving part (translator) of the generator is driven from the sea waves and induce…

010302 applied physicsPhysicsElectric machines linear generators wave energy convertersSettore ING-IND/11 - Fisica Tecnica AmbientaleElectromotive forceEnergy converterAcousticsElectric generatorSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici01 natural sciencesElectronic Optical and Magnetic Materialslaw.inventionPlanarlawElectromagnetic coilMagnet0103 physical sciencesElectrical and Electronic EngineeringExcitationArmature (electrical engineering)
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Experimental comparison of two control algorithms for low-saliency ratio interior permanent magnet synchronous motors

2018

In this paper, an experimental investigation on the comparison between the Maximum Torque Per Ampere (MTPA) and the Field Orientation Control (FOC) algorithms for interior permanent magnet synchronous machines (IPMSMs) is described, analyzed and discussed. This investigation was carried out on a small-power IPMSM with low saliency ratio. More in detail, after a previous simulation study, the control techniques have been experimentally implemented and validated through means of a dSPACE® rapid prototyping system. The performances of the two algorithms have been evaluated and compared, obtaining interesting results.

010302 applied physicsRapid prototypingControl algorithmElectromagneticsPermanent magnet synchronous motorComputer scienceRenewable Energy Sustainability and the Environment020208 electrical & electronic engineeringlow saliency ratio motor02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici01 natural sciencesField oriented control algorithmmaximum torque per ampere control algorithmControl theoryMagnet0103 physical sciencesAutomotive Engineering0202 electrical engineering electronic engineering information engineeringTorqueInterior permanent magnet synchronous machineAmpereMaximum torque
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Enhanced loss model algorithm for interior permanent magnet synchronous machines

2017

This paper presents an experimental study on the impact of the parameter variations over the performances of a LMA (Loss Model Algorithm) designed for an IPMSM (Interior Permanent Magnet Synchronous Machine). In a previous work, the characterization was carried out by assessing, for several working conditions, the motor parameters that influence the motor efficiency. The proposed enhanced loss model algorithm is implemented in a rapid prototyping system and its performances, in term of efficiency, are compared with other control systems, obtaining promising results.

010302 applied physicsRapid prototypingInterior permanent magnet synchronous motorComputer science020208 electrical & electronic engineeringWork (physics)02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici01 natural sciencesDC motorTerm (time)Settore ING-IND/31 - Elettrotecnicaspeed control drive systemsMagnetControl system0103 physical sciences0202 electrical engineering electronic engineering information engineeringTorquepower loss minimizationSettore ING-INF/07 - Misure Elettriche E ElettronicheAlgorithmPermanent magnet synchronous machine2017 AEIT International Annual Conference
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Data-driven Fault Diagnosis of Induction Motors Using a Stacked Autoencoder Network

2019

Current signatures from an induction motor are normally used to detect anomalies in the condition of the motor based on signal processing techniques. However, false alarms might occur if using signal processing analysis alone since missing frequencies associated with faults in spectral analyses does not guarantee that a motor is fully healthy. To enhance fault diagnosis performance, this paper proposes a machinelearning based method using in-built motor currents to detect common faults in induction motors, namely inter-turn stator winding-, bearing- and broken rotor bar faults. This approach utilizes single-phase current data, being pre-processed using Welch’s method for spectral density es…

010302 applied physicsSignal processingbusiness.industryRotor (electric)Computer science020208 electrical & electronic engineeringSpectral density estimationPattern recognition02 engineering and technologyFault (power engineering)01 natural sciencesAutoencoderlaw.inventionSupport vector machineStatistical classificationlaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringArtificial intelligencebusinessInduction motor2019 22nd International Conference on Electrical Machines and Systems (ICEMS)
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Computer-aided analysis and design procedure for rotating induction machine magnetic circuits and windings

2018

The aim of this study is to present a new, accurate, and user-friendly software procedure for the analysis and rapid design of rotating induction machine windings, considering both the electric and the magnetic specifications of the machine itself. This procedure is a valid aid for quick first stage design without the necessity of using finite element method (FEM)-based design procedures. FEM can be used in a second design phase in order to refine the first stage results. The design procedure is hereafter outlined and some examples show its capability.

010302 applied physicsbusiness.industryComputer science020208 electrical & electronic engineeringAsynchronous machinesControl engineering02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici01 natural sciencesFinite element methodMagnetic circuitDesign phaseInduction machineSoftwareElectromagnetic coil0103 physical sciences0202 electrical engineering electronic engineering information engineeringMachine windingMagnetic circuitsElectrical and Electronic EngineeringbusinessComputer aided analysis and designAsynchronous machineryComputer aided analysi
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Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

2012

Abstract ESA's upcoming satellites Sentinel-2 (S2) and Sentinel-3 (S3) aim to ensure continuity for Landsat 5/7, SPOT-5, SPOT-Vegetation and Envisat MERIS observations by providing superspectral images of high spatial and temporal resolution. S2 and S3 will deliver near real-time operational products with a high accuracy for land monitoring. This unprecedented data availability leads to an urgent need for developing robust and accurate retrieval methods. Machine learning regression algorithms may be powerful candidates for the estimation of biophysical parameters from satellite reflectance measurements because of their ability to perform adaptive, nonlinear data fitting. By using data from …

010504 meteorology & atmospheric sciencesArtificial neural networkMean squared errorbusiness.industryComputer science0211 other engineering and technologiesSoil ScienceGeology02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesRegressionSupport vector machineTemporal resolutionGround-penetrating radarCurve fittingArtificial intelligenceComputers in Earth SciencesbusinessImage resolutioncomputer021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Multi-phase classification by a least-squares support vector machine approach in tomography images of geological samples

2016

Abstract. Image processing of X-ray-computed polychromatic cone-beam micro-tomography (μXCT) data of geological samples mainly involves artefact reduction and phase segmentation. For the former, the main beam-hardening (BH) artefact is removed by applying a best-fit quadratic surface algorithm to a given image data set (reconstructed slice), which minimizes the BH offsets of the attenuation data points from that surface. A Matlab code for this approach is provided in the Appendix. The final BH-corrected image is extracted from the residual data or from the difference between the surface elevation values and the original grey-scale values. For the segmentation, we propose a novel least-squar…

010504 meteorology & atmospheric sciencesComputer scienceStratigraphySoil ScienceImage processing010502 geochemistry & geophysicsResidual01 natural sciences550 Earth scienceslcsh:StratigraphyGeochemistry and PetrologyLeast squares support vector machineSegmentationlcsh:QE640-6990105 earth and related environmental sciencesEarth-Surface ProcessesPixelbusiness.industrylcsh:QE1-996.5PaleontologyGeologyPattern recognition550 Geowissenschaftenlcsh:GeologyData setSupport vector machineGeophysicsData pointArtificial intelligencebusinessSolid Earth
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