Search results for "Noise control"

showing 10 items of 16 documents

Experimental investigation of holes interaction effect on the sound absorption coefficient of micro-perforated panels under high and medium sound lev…

2011

Abstract This paper experimentally investigates the holes interaction effect on the sound absorption coefficient of micro-perforated panels under high and medium sound levels. The theoretical formulations are based on a semi-empirical approach and the use of Fok’s function to model the acoustic surface impedance. For the high sound level regime, an empirical power law involving three coefficients is adapted. It is shown theoretically and experimentally that these coefficients can lead to optimized absorption performance and particularly, a formula relating the critical Reynolds number (Reynolds number value after which the absorption coefficient decreases with the increase of sound level) a…

Absorption (acoustics)Materials scienceAcoustics and Ultrasonicsbusiness.industryPerforation (oil well)Reynolds numberMechanicssymbols.namesakeNonlinear systemNoise reduction coefficientOpticsAttenuation coefficientsymbolsNoise controlSound pressurebusinessApplied Acoustics
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Foetal ECG recovery using dynamic neural networks

2002

Non-invasive electrocardiography has proven to be a very interesting method for obtaining information about the foetus state and thus to assure its well-being during pregnancy. One of the main applications in this field is foetal electrocardiogram (ECG) recovery by means of automatic methods. Evident problems found in the literature are the limited number of available registers, the lack of performance indicators, and the limited use of non-linear adaptive methods. In order to circumvent these problems, we first introduce the generation of synthetic registers and discuss the influence of different kinds of noise to the modelling. Second, a method which is based on numerical (correlation coe…

Finite impulse responseComputer scienceMedicine (miscellaneous)Machine learningcomputer.software_genreSensitivity and SpecificityLeast mean squares filterElectrocardiographyFetal HeartPredictive Value of TestsPregnancyArtificial IntelligenceRobustness (computer science)HumansActive noise controlArtificial neural networkbusiness.industryModels CardiovascularPattern recognitionAdaptive filterIdentification (information)NoiseFemaleNeural Networks ComputerArtificial intelligencebusinesscomputerArtificial Intelligence in Medicine
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Numerical methods for acoustics and noise control

2010

Artikkeliväitöskirja. Sisältää yhteenveto-osan ja viisi artikkelia. Article dissertation. Contains an introduction part and five articles. This dissertation considers numerical methods for wave propagation modelling and noise control. The first part of the dissertation discusses an efficient method for solving time-harmonic wave equations in acoustic (the Helmholtz equation) and elastic domains (the Navier equation). The solver is based on preconditioning a Krylov subspace method, such as GMRES, with approximations of damped variants of the corresponding wave equations. An algebraic multigrid method is used in approximating the inverse of damped operators. The method can be used in complex …

mallintaminenakustiikkafinite element methodpassive noise controlshape optimizationNoise controlmelunvaimennusAcousticscomputational acousticsmatemaattiset mallitactive noise controlmeluntorjunta
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Online mass flow prediction in CFB boilers

2009

Fuel feeding and inhomogeneity of fuel typically cause process fluctuations in the circulating fluidized bed (CFB) process. If control systems fail to compensate for the fluctuations, the whole plant will suffer from fluctuations that are reinforced by the closed-loop controls. This phenomenon causes a reduction of efficiency and lifetime of process components. Therefore, domain experts are interested in developing tools and techniques for getting better understanding of underlying processes and their mutual dependencies in CFB boilers. In this paper we consider an application of data mining technology to the analysis of time series data from a pilot CFB reactor. Namely, we present a rather…

Computer sciencebusiness.industryControl systemMass flowBoiler (power generation)Fluidized bed combustionTime seriesProcess engineeringbusinessSimulationActive noise control
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Background noise suppression for acoustic localization by means of an adaptive energy detection approach

2008

A microphone array can be employed to localize dominant acoustic sources in a given noisy environment. This capability is successfully used in good signal to noise ratio (SNR) conditions but its accuracy decreases considerably in the presence of other background noise sources. In order to counteract this effect, a novel approach that combines the information provided by a Gaussian energy detector (GED) with the approved localization method SRP-PHAT is presented in this paper. To evaluate the presented technique, several acoustic sources (speech and impulsive sounds) were considered in a variety of different scenarios to demonstrate the robustness and the accuracy of the system proposed.

Background noisesymbols.namesakeMicrophone arraySignal-to-noise ratioComputer Science::SoundComputer scienceRobustness (computer science)AcousticsGaussianSpeech recognitionDetectorsymbolsNoise control2008 IEEE International Conference on Acoustics, Speech and Signal Processing
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LOCAL CONTROL OF SOUND IN STOCHASTIC DOMAINS BASED ON FINITE ELEMENT MODELS

2011

A numerical method for optimizing the local control of sound in a stochastic domain is developed. A three-dimensional enclosed acoustic space, for example, a cabin with acoustic actuators in given locations is modeled using the finite element method in the frequency domain. The optimal local noise control signals minimizing the least square of the pressure field in the silent region are given by the solution of a quadratic optimization problem. The developed method computes a robust local noise control in the presence of randomly varying parameters such as variations in the acoustic space. Numerical examples consider the noise experienced by a vehicle driver with a varying posture. In a mod…

ta113Stochastic domainAcoustics and UltrasonicsComputer scienceApplied MathematicsAcousticsNoise reductionNumerical analysisstokastinen aluekvadraattinen optimointipassenger carFinite element methodhenkilöautoelementtimenetelmäAcoustic spacequadratic optimizationNoiseFrequency domainNoise controlHelmholtz equationQuadratic programmingpaikallinen äänenhallintaäärellisten elementtien menetelmäHelmholtzin yhtälölocal sound controlJournal of Computational Acoustics
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Multi-objective actuator placement optimization for local sound control evaluated in a stochastic domain

2011

A method to find optimal locations and properties of anti-noise actuators in local noise control system is considered. The local noise control performance is approximated by a finite element method based approach, that attempts to estimate the average performance of optimal active noise control (ANC) system. The local noise control uses a fixed number of circular actuators that are located on the boundary of a three-dimensional enclosed acoustic space. Actuator signals are used to minimize the known harmonic noise at specified locations. The average noise reduction is maximized at two frequency ranges by adjusting the anti-noise actuator configuration, which is a non-linear multi-objective …

mallintaminenakustiikkafinite element methodpassive noise controlshape optimizationNoise controlmelunvaimennusAcousticscomputational acousticsmatemaattiset mallitactive noise controlmeluntorjunta
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Control of Acoustical Quality of Indoor Spaces: Thorough Analysis of the Influence of Façade Typologies

2001

Building shape is of prime importance with regard to the acoustic aspects of achieving adequate indoor environmental quality. This paper presents experimental results obtained in a measurement programme carried out at CSTB, using reduced-scale models. The objectives were to identify the architectural forms of façades' best for noise mitigation, and to address the influence of façade architecture on indoor acoustic quality. Many façade typologies have been assessed in different situations involving combinations of structural and architectural elements, such as balustrades, balconies, loggias, etc. A systematic simulation of real configurations (buildings in front of one another, stacked or …

Architectural engineeringAcoustics and Ultrasonicsbusiness.industryComputer scienceMechanical Engineeringmedia_common.quotation_subjectControl (management)Sound propagationFacade engineeringBuilding and ConstructionNoise controlQuality (business)FacadeArchitecturebusinessEnvironmental qualitymedia_commonBuilding Acoustics
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FPGA Implementation of an Adaptive Filter Robust to Impulsive Noise: Two Approaches

2011

Adaptive filters are used in a wide range of applications such as echo cancellation, noise cancellation, system identification, and prediction. Its hardware implementation becomes essential in many cases where real-time execution is needed. However, impulsive noise affects the proper operation of the filter and the adaptation process. This noise is one of the most damaging types of signal distortion, not always considered when implementing algorithms, particularly in specific hardware platforms. Field-programmable gate arrays (FPGAs) are used widely for real-time applications where timing requirements are strict. Nowadays, two main design processes can be followed for embedded system design…

Adaptive algorithmComputer scienceHardware description languageSystem identificationImpulse noiseAdaptive filterNoiseControl and Systems EngineeringDistortionHigh-level synthesisVHDLElectronic engineeringElectrical and Electronic Engineeringcomputercomputer.programming_languageActive noise controlIEEE Transactions on Industrial Electronics
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Modelling and Simulation of Ego-Noise of Unmanned Aerial Vehicles

2020

In this paper, we develop a simulation model for the ego-noise of unmanned aerial vehicles (UAVs). The ego-noise is composed of spike noise and background noise. The spike noise is modelled by a finite sum of sinusoids, while the background noise is modelled by a coloured Gaussian stationary process. The main property of our model is that it only depends on physical characteristics of the UAV and it does not need real-time audio inputs to be developed. This model is very useful for training novel noise cancelling algorithms and for evaluating their performance. To validate the proposed model, we compare the statistical properties of the ego-noise simulated using our model with actual ego-no…

Stationary processProperty (programming)Computer scienceGaussian010401 analytical chemistry020206 networking & telecommunications02 engineering and technology01 natural sciences0104 chemical sciencesComputer Science::RoboticsBackground noisesymbols.namesakeNoiseControl theory0202 electrical engineering electronic engineering information engineeringsymbolsSpike (software development)Active noise control2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
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