Search results for "Spectral Density"

showing 10 items of 223 documents

Fatigue life prediction under wide band random loading

2004

In this paper, a method for the high-cycle fatigue life prediction of components subjected to gaussian, stationary, wide band random loading is presented. It allows the user to evaluate the fatigue life of components subjected to uniaxial stress states directly from the stress power spectral density (PSD), avoiding onerous simulations in time domain. The proposed method can be applied to random stress processes having PSD of any shape, and the fatigue life predictions obtained are more accurate than that provided by most of the frequency domain techniques proposed in literature.

Engineeringbusiness.industryMechanical EngineeringGaussianAcousticsSpectral densityStress (mechanics)symbols.namesakephotoelasticity automation phase shifting stress separationMechanics of MaterialsFrequency domainsymbolsForensic engineeringGeneral Materials ScienceWide bandTime domainbusinessVibration fatigueFatigue & Fracture of Engineering Materials & Structures
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Combination of modal responses consistent with seismic input representation

2004

The well-known modal superposition method for the evaluation of seismic response by the complete quadratic modal combination rule (CQC) is revisited. The most widely used version of the CQC rule utilizes correlation coefficients derived for white-noise excitation and neglects the influence of peak factor variation on the response. Here a simplified procedure for evaluation of correlation coefficients and peak factors consistent with the power spectral density of seismic excitation is proposed. The procedure is based on an approximate analytic expression for direct evaluation of the power spectral density of the excitation consistent with any prefixed response spectrum, and the evaluation of…

Engineeringbusiness.industryMechanical EngineeringModal analysisSpectral densityBuilding and ConstructionStructural engineeringWhite noiseModal analysiModal analysis; Power spectral density; Seismic response; CorrelationSeismic waveCorrelationSettore ICAR/09 - Tecnica Delle CostruzioniModalQuadratic equationPower spectral densityMechanics of MaterialsGeneral Materials SciencebusinessResponse spectrumRepresentation (mathematics)Seismic responseCivil and Structural Engineering
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Comparison of the Rain Flow Algorithm and the Spectral Method for Fatigue Life Determination Under Uniaxial and Multiaxial Random Loading

2008

This paper presents the strain energy density parameter used for fatigue life calculation under random loading by two methods. The first method is based on schematization of energy parameter histories with the rain flow algorithm. The other one is based on moments of the power spectral density function of the energy parameter. The experimental data of fatigue tests of 10HNAP steel under constant amplitude and random uniaxial loading with non-gaussion probability distribution, zero mean value, and wide-band frequency spectrum used for comparison of the rain flow algorithm and the spectral method gave satisfactory results. Next, histories of the random stress tensor with normal probability di…

Environmental EngineeringMaterials scienceCauchy stress tensorPublic Health Environmental and Occupational HealthGeneral EngineeringBiaxial tensile testSpectral densityStrain energy density functionNormal distributionNuclear Energy and EngineeringProbability distributionGeneral Materials ScienceSpectral methodAlgorithmVibration fatigueJournal of ASTM International
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A Unified SVM Framework for Signal Estimation

2013

This paper presents a unified framework to tackle estimation problems in Digital Signal Processing (DSP) using Support Vector Machines (SVMs). The use of SVMs in estimation problems has been traditionally limited to its mere use as a black-box model. Noting such limitations in the literature, we take advantage of several properties of Mercer's kernels and functional analysis to develop a family of SVM methods for estimation in DSP. Three types of signal model equations are analyzed. First, when a specific time-signal structure is assumed to model the underlying system that generated the data, the linear signal model (so called Primal Signal Model formulation) is first stated and analyzed. T…

FOS: Computer and information sciencesbusiness.industryNoise (signal processing)Computer scienceApplied MathematicsSpectral density estimationArray processingPattern recognitionMachine Learning (stat.ML)Statistics - ApplicationsSupport vector machineKernel (linear algebra)Kernel methodComputational Theory and MathematicsStatistics - Machine LearningArtificial IntelligenceSignal ProcessingApplications (stat.AP)Computer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringStatistics Probability and UncertaintybusinessDigital signal processingReproducing kernel Hilbert space
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Outage statistics for Beckmann fading channels in non-isotropic scattering environments

2015

In this paper, the outage statistics are studied for non-isotropic Beckmann fading channel model. Non-isotropic scattering generally results in an asymmetrical Doppler power spectral density (PSD). In this context, an expression for the outage probability (OP) (or equivalently the cumulative distribution function (CDF)) of the fading envelope is first derived. Then, the probability density function (PDF) of the rate of change of the fading envelope is investigated. Thereafter, an expression for the average rate of outages (ARO) (or equivalently the level-crossing rate (LCR)) is provided. Finally, by making use of the analytical results of the ARO and OP, an expression for the average durati…

Fading distributionCumulative distribution functionStatisticsSpectral densityContext (language use)Probability density functionFadingEnvelope (mathematics)Expression (mathematics)Computer Science::Information TheoryMathematics2015 21st Asia-Pacific Conference on Communications (APCC)
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A generalized method for the design of ergodic sum-of-cisoids simulators for multiple uncorrelated rayleigh fading channels

2010

In this paper, we present a new method for the design of ergodic sum-of-sinusoids (SOS) simulation models for multiple uncorrelated Rayleigh fading channels. The method, which is intended for a special class of SOS models, known as sum-of-cisoids (SOC) models, can be used to generate an arbitrary number of uncorrelated Rayleigh fading waveforms with specified Doppler power spectral characteristics. This is in contrast to the SOS simulators currently available in the open literature that have been designed under the isotropic scattering assumption, which are limited to the simulation of uncorrelated channels characterized by Clarke's U-shaped Doppler power spectral density (DPSD). The excell…

Fading distributionScatteringStochastic processControl theoryMIMOSpectral densityErgodic theoryData_CODINGANDINFORMATIONTHEORYCommunications systemAlgorithmComputer Science::Information TheoryMathematicsRayleigh fading2010 4th International Conference on Signal Processing and Communication Systems
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CROSS-POWER SPECTRAL DENSITY AND CROSS-CORRELATION REPRESENTATION BY USING FRACTIONAL SPECTRAL MOMENTS

2012

Fractional calculus Mellin transform Complex order moments Fractional moments Fractional spectral moments Cross-correlation function Cross-power spectral density function
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The influence of the propagation path length on the results of the time–frequency analysis of the acoustic emission generated by partial discharges i…

2006

The paper presents the measurement results of the acoustic emission (AE) signals generated by partial discharges (PDs) at various thickness of the oil insulation layer. For the AE signals registered the time - frequency analysis was carried out based on the use of the short-time Fourier transform (STFT). Two- and three-dimensional spectrograms of the power spectrum density and the amplitude spectrum were determined. The evaluation of the influence of the propagation path length of the AE signal on the results of the time - frequency analysis was performed through the analysis of the spectrograms determined.

Frequency analysisMaterials scienceAcousticsShort-time Fourier transformGeneral Physics and AstronomySpectral densityTime–frequency analysislaw.inventionComputer Science::Hardware Architecturesymbols.namesakeFourier transformAcoustic emissionPath lengthComputer Science::SoundlawsymbolsSpectrogramJournal de Physique IV (Proceedings)
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Rayleigh and Rice Channels

2011

This chapter contains sections titled: System Theoretical Description of Multipath Channels Formal Description of Rayleigh and Rice Channels Elementary Properties of Rayleigh and Rice Channels Statistical Properties of Rayleigh and Rice Channels Further Reading Appendix 3.A Derivation of the Jakes Power Spectral Density and the Corresponding Autocorrelation Function Appendix 3.B Derivation of the Autocorrelation Function of the Envelope Appendix 3.C Derivation of the Autocovariance Spectrum of the Envelope Under Isotropic Scattering Conditions Appendix 3.D Derivation of the Level‐Crossing Rate of Rice Processes with Different Spectral Shapes of the Underlying Gaussian Random Processes

GaussianAutocorrelationSpectral densityProbability density functionsymbols.namesakeAutocovarianceElectronic engineeringsymbolsStatistical physicsRayleigh scatteringComputer Science::Information TheoryMathematicsEnvelope (waves)Rayleigh fadingMobile Radio Channels
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An Innovative Structural Dynamic Identification Procedure Combining Time Domain OMA Technique and GA

2022

In this paper an innovative and simple Operational Modal Analysis (OMA) method for structural dynamic identification is proposed. It combines the recently introduced Time Domain–Analytical Signal Method (TD–ASM) with the Genetic Algorithm (GA). Specifically, TD–ASM is firstly employed to estimate a subspace of candidate modal parameters, and then the GA is used to identify the structural parameters minimizing the fitness value returned by an appropriately introduced objective function. Notably, this method can be used to estimate structural parameters even for high damping ratios, and it also allows one to identify the Power Spectral Density (PSD) of the structural excitat…

Genetic AlgorithmPower Spectral Densitystructural dynamic identificationStructural Health MonitoringArchitecturecorrelation functionBuilding and Constructioncorrelation function; Power Spectral Density; Structural Health Monitoring; Hilbert transform; Genetic Algorithm; structural dynamic identification; Operational Modal AnalysisSettore ICAR/08 - Scienza Delle CostruzioniHilbert transformOperational Modal AnalysiCivil and Structural EngineeringBuildings; Volume 12; Issue 7; Pages: 963
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