Search results for "Aerospace engineering"

showing 10 items of 378 documents

Control flow strategy in a receiver coil for nuclear magnetic resonance for imaging

2020

A mathematical discussion is introduced to describe the receiver coil characterizing a nuclear magnetic resonance for imaging, starting from a general shape of the conductor. A set of different inductance calculations have been introduced, varying the shape of the conductor. The inductance calculation led to a general expression of the magnetic field of a single coil characterized by a rectangular shape. A dynamic model of the receiver coil has been developed to represent the natural frequencies that characterize the operational bandwidth. A nonstationary control strategy is implemented to make a real time changing of the operational bandwidth. The frequency response of the coil generates …

010302 applied physicsPhysicsmedicine.diagnostic_testMechanical EngineeringAerospace EngineeringMagnetic resonance imaging01 natural sciencesTransfer function030218 nuclear medicine & medical imagingMagnetic fieldConductorInductanceReceiver coil03 medical and health sciences0302 clinical medicineNuclear magnetic resonanceControl flowMechanics of Materials0103 physical sciencesAutomotive EngineeringmedicineGeneral Materials ScienceJournal of Vibration and Control
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The BepiColombo MORE gravimetry and rotation experiments with the ORBIT14 software

2016

The BepiColombo mission to Mercury is an ESA/JAXA cornerstone mission, consisting of two spacecraft in orbit around Mercury addressing several scientific issues. One spacecraft is the Mercury Planetary Orbiter, with full instrumentation to perform radio science experiments. Very precise radio tracking from Earth, on-board accelerometer and optical measurements will provide large data sets. From these it will be possible to study the global gravity field of Mercury and its tidal variations, its rotation state and the orbit of its centre of mass. With the gravity field and rotation state, it is possible to constrain the internal structure of the planet. With the orbit of Mercury, it is possib…

010504 meteorology & atmospheric sciencesAccelerometer01 natural scienceslaw.inventionmethods: numericalGravitationOrbiterMethods: numerical; Planets and satellites: individual: Mercury; Space vehicles: instruments; Astronomy and Astrophysics; Space and Planetary ScienceGravitational fieldmethods: numerical – space vehicles: instruments – planets and satellites: individual: Mercurylaw0103 physical sciencesGravimetryAerospace engineeringspace vehicles: instrumentsSettore MAT/07 - Fisica Matematica010303 astronomy & astrophysics0105 earth and related environmental sciencesRemote sensingRadio SciencePhysicsSpacecraftbusiness.industryAstronomy and AstrophysicsSpace and Planetary SciencePhysics::Space PhysicsLove numberAstrophysics::Earth and Planetary Astrophysicsbusinessplanets and satellites: individual: Mercury
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On the Dependence of Cirrus Parametrizations on the Cloud Origin

2019

<p>Particle size distributions (PSDs) for cirrus clouds are important for both climate models as well as many remote sensing retrieval methods. Therefore, PSD parametrizations are required. This study presents parametrizations of Arctic cirrus PSDs. The dataset used for this purpose originates from balloon-borne measurements carried out during winter above Kiruna (Sweden), i.e. north of the Arctic circle. The observations are sorted into two types of cirrus cloud origin, either in-situ or liquid. The cloud origin describes the formation pathway of the ice particles. At temperatures below −38 °C, ice particles form in-situ from solution or ice nuclea…

010504 meteorology & atmospheric sciencesMeteorologyMeteorologi och atmosfärforskningAerospace EngineeringCloud computing010502 geochemistry & geophysics01 natural sciencescirrus cloudsddc:550Parametrization (atmospheric modeling)Astrophysics::Galaxy AstrophysicsPhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesbusiness.industryAstrophysics::Instrumentation and Methods for AstrophysicsparametrizationData setRymd- och flygteknikGeophysicsArcticice particle size distribution (PSD)Meteorology and Atmospheric SciencesPhysics::Space PhysicsGeneral Earth and Planetary SciencesEnvironmental scienceCirrusbusinessArctic cloud origin
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A Nonisovelocity Geometry-Based Underwater Acoustic Channel Model

2018

This paper proposes a new geometry-based shallow underwater acoustic (UWA) channel model allowing for nonisovelocity ocean conditions. The fact that the isovelocity assumption does not hold in many real-world scenarios motivates the need for developing channel models for nonisovelocity UWA propagation environments. Starting from a geometrical model, we develop a stochastic channel model for a single-input single-output (SISO) vehicle-to-vehicle UWA channel assuming that the ocean surface and bottom are rough and that the speed of sound varies with depth. The effect of the nonisovelocity condition has been assessed regarding its influence on the temporal autocorrelation function, the frequen…

010505 oceanographyComputer Networks and CommunicationsComputer scienceAutocorrelationAerospace Engineering020206 networking & telecommunicationsGeometry02 engineering and technology01 natural sciencesDelay spreadAutomotive Engineering0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringUnderwaterUnderwater acousticsPower delay profileUnderwater acoustic communicationCoherence bandwidth0105 earth and related environmental sciencesCommunication channelIEEE Transactions on Vehicular Technology
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The tougher the environment, the harder the adaptation? A psychological point of view in extreme situations

2021

IF: 2.8 (Q1); International audience; Grounded within a multidimensional and multilevel approach, the aim of this study was to investigate the time course of Psychological Adaptation Process (PAP) dimensions (social, emotional, occupational, and physical) during one-year polar winter-overs in Subantarctic and Antarctic stations. The effects of perceived control (PC) at the start of polar winter on the dynamics of the PAP dimensions were also examined. The present findings clarify some changes in PAP in extreme environments: (a) The dimensions of psychological adaptation evolved differently as a function of environmental conditions; and (b) PC influenced the trajectories of PAP dimensions. T…

020301 aerospace & aeronauticsPoint (typography)media_common.quotation_subject[SHS.PSY]Humanities and Social Sciences/PsychologyAerospace EngineeringMultilevel analysesPerceived control02 engineering and technologyExtreme environmentsPsychological dimensions01 natural sciences[SHS.PSY] Humanities and Social Sciences/Psychology0203 mechanical engineeringPsychological adaptation0103 physical sciencesTime coursePerceived controlAdaptationPsychologyAdaptation (computer science)Function (engineering)010303 astronomy & astrophysicsCognitive psychologymedia_common
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Aircraft wing rock oscillations suppression by simple adaptive control

2020

Abstract Roll angular motion of the modern aircraft operating in non-linear flight modes with a high angle of attack often demonstrates the limit cycle oscillations, which is commonly known as the wing rock phenomenon. Wing rock dynamics are represented by a substantially non-linear model, with parameters varying over a wide range, depending on the flight conditions (altitude, Mach number, payload mass, etc.) and angle of attack. A perspective approach of the wing rock suppression lies in the adaptation methods. In the present paper an application of the simple adaptive control approach with the Implicit Reference Model (IRM) is proposed and numerically studied. The IRM adaptive controller …

0209 industrial biotechnologyAdaptive controlComputer scienceAngle of attackAerospace Engineering02 engineering and technology01 natural sciences010305 fluids & plasmaslaw.inventionsymbols.namesake020901 industrial engineering & automationCircular motionAileronMach numberControl theorylawRange (aeronautics)0103 physical sciencesTrajectorysymbolsAerospace Science and Technology
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Cross-correlation of whitened vibration signals for low-speed bearing diagnostics

2019

Abstract Rolling-element bearings are crucial components in all rotating machinery, and their failure will initially degrade the machine performance, and later cause complete shutdown. The period between an initial crack and complete failure is short due to crack propagation. Therefore, early fault detection is important to avoid unexpected machine shutdown and to aid in maintenance scheduling. Bearing condition monitoring has been applied for several decades to detect incipient faults at an early stage. However, low-speed conditions pose a challenge for bearing fault diagnosis due to low fault impact energy. To reliably detect bearing faults at an early stage, a new method termed Whitened …

0209 industrial biotechnologyComputer scienceAerospace Engineering02 engineering and technology01 natural sciencesFault detection and isolationScheduling (computing)law.inventionsymbols.namesake020901 industrial engineering & automationlawControl theory0103 physical sciences010301 acousticsCivil and Structural EngineeringBearing (mechanical)Cross-correlationMechanical EngineeringCondition monitoringRotational speedComputer Science ApplicationsVibrationControl and Systems EngineeringSignal ProcessingsymbolsHilbert transformMechanical Systems and Signal Processing
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Integrated GNSS/IMU Hub Motion Estimator for Offshore Wind Turbine Blade Installation

2019

Abstract Offshore wind turbines (OWTs) have become increasingly popular for their ability to harvest clean offshore wind energy. Bottom-fixed foundations are the most used foundation type. Because of its large diameter, the foundation is sensitive to wave loads. For typical manually assisted blade-mating operations, the decision to perform the mating operation is based on the relative distance and velocity between the blade root center and the hub, and in accordance with the weather window. Hence, monitoring the hub real-time position and velocity is necessary, whether the blade installation is conducted manually or automatically. In this study, we design a hub motion estimation algorithm f…

0209 industrial biotechnologyComputer scienceMechanical EngineeringAerospace EngineeringEstimator02 engineering and technologyKalman filterSensor fusion01 natural sciencesComputer Science ApplicationsOffshore wind power020901 industrial engineering & automationControl and Systems EngineeringInertial measurement unitControl theoryGNSS applications0103 physical sciencesSignal ProcessingTrajectory010301 acousticsSmoothingCivil and Structural Engineering
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Autonomous ultrasonic inspection using Bayesian optimisation and robust outlier analysis

2020

The use of robotics is beginning to play a key role in automating the data collection process in Non Destructive Testing (NDT). Increasing the use of automation quickly leads to the gathering of large quantities of data, which makes it inefficient, perhaps even infeasible, for a human to parse the information contained in them. This paper presents a solution to this problem by making the process of NDT data acquisition an autonomous one as opposed to an automatic one. In order to achieve this, the robotic data acquisition task is treated as an optimisation problem, where one seeks to find locations with the highest indication of damage. The resulting algorithm combines damage detection tech…

0209 industrial biotechnologyComputer scienceTKAerospace Engineering02 engineering and technologycomputer.software_genre01 natural sciencesField (computer science)Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020901 industrial engineering & automationData acquisitionNon-destructive testing (NDT)0103 physical sciencesUltrasoundUncertainty quantificationOutlier analysis010301 acousticsCivil and Structural EngineeringData collectionbusiness.industryMechanical EngineeringProbabilistic logicBayesian optimisationAutomationComputer Science ApplicationsControl and Systems EngineeringSignal ProcessingOutlierStructural health monitoringData miningbusinesscomputerGaussian process (GP) regression
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Neural modelling of friction material cold performance

2008

The complex and highly non-linear phenomena involved during braking are primarily caused by friction materials’ characteristics. The final friction materials' characteristics are determined by their compositions, manufacturing, and the brake's operating conditions. Analytical models of friction materials' behaviour are difficult, even impossible, to obtain for the case of different brakes' operating conditions. That is why, in this paper, all relevant influences on the friction materials' cold performance have been integrated by means of artificial neural networks. The influences of 26 input parameters, defined by the friction materials' composition (18 ingredients), manufacturing (five pa…

0209 industrial biotechnologyEngineeringArtificial neural networkBar (music)business.industryMechanical EngineeringAerospace Engineering02 engineering and technology020303 mechanical engineering & transports020901 industrial engineering & automationneural modelling friction material cold performance0203 mechanical engineeringControl theoryBrakeRange (statistics)businessSimulationProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
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