Search results for "Filter"

showing 10 items of 1019 documents

A structured filter for Markovian switching systems

2014

In this work, a new methodology for the structuring of multiple model estimation schemas is developed. The proposed filter is applied to the estimation and detection of active mode in dynamic systems. The discrete-time Markovian switching systems represented by several linear models, associated with a particular operating mode, are studied. Therefore, the main idea of this work is the subdivision of the models set to some subsets in order to improve the detection and estimation performances. Each subset is associated with sub-estimators based on models of the subset. In order to compute the global estimate and subset probabilities, a global estimator is proposed. Theoretical developments ba…

Engineeringbusiness.industryMarkovian switching systemMode (statistics)Linear modelEstimatorComputer Science Applications1707 Computer Vision and Pattern RecognitionFault detection and isolationActive mode detectionComputer Science ApplicationsTheoretical Computer ScienceSet (abstract data type)Vehicle roll dynamicActive mode detection; Markovian switching system; Multiple model estimation; Vehicle roll dynamic; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern RecognitionControl and Systems EngineeringFilter (video)Control theoryMultiple model estimationState (computer science)businessSubdivisionInternational Journal of Systems Science
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Bearing fault detection for drivetrains using adaptive filters based wavelet transform

2017

Predicting a localized defect on a rolling bearing during the degradation process before a complete failure is crucial to prevent system failures, unscheduled downtimes and substantial loss of productivity. During this process, impulses associated with the fault are weak, nonstationary or time-frequency varying, and contaminated by noises, which render the problem of extracting these impulses very difficult. This work investigates the effectiveness of common signal processing techniques on predicting incipient faults, e.g. Fast Fourier transform, Short-Time Fourier transform, Wavelet transform. It was found that an adaptive filter is required to enhance and reconstruct the signals during th…

Engineeringbusiness.industryStationary wavelet transformSecond-generation wavelet transformWavelet transform020206 networking & telecommunications02 engineering and technologyWavelet packet decompositionTime–frequency analysisAdaptive filter030507 speech-language pathology & audiology03 medical and health sciencessymbols.namesakeFourier transformMorlet waveletControl theory0202 electrical engineering electronic engineering information engineeringElectronic engineeringsymbols0305 other medical sciencebusiness2017 20th International Conference on Electrical Machines and Systems (ICEMS)
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Robustness Analysis of an Extended Kalman Filter for Sensorless Control of Induction Motors

2010

This paper deals with robustness analysis of Extended Kalman Filters (EKFs) for sensorless motion control of induction motors. Analysis is carried out by means of simulation experiments considering a conventional EKF, in which system and measurement noise covariance matrices are constant, and an adaptive EKF in which the system noise covariance matrix is updated on-line using a PID-type algorithm driven by the stator current estimation errors.

Engineeringbusiness.industryStatorCovariance matrixControl engineeringKalman filterCovarianceInvariant extended Kalman filterlaw.inventionComputer Science::RoboticsExtended Kalman filterSensorless ControlSettore ING-INF/04 - AutomaticaComputer Science::Systems and ControlControl theorylawRobustness (computer science)Kalman filterInduction motorbusinessInduction motor
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A Memetic Differential Evolution in Filter Design for Defect Detection in Paper Production

2007

This article proposes a Memetic Differential Evolution (MDE) for designing digital filters which aim at detecting defects of the paper produced during an industrial process. The MDE is an adaptive evolutionary algorithm which combines the powerful explorative features of Differential Evolution (DE) with the exploitative features of two local searchers. The local searchers are adaptively activated by means of a novel control parameter which measures fitness diversity within the population. Numerical results show that the DE framework is efficient for the class of problems under study and employment of exploitative local searchers is helpful in supporting the DE explorative mechanism in avoid…

Engineeringeducation.field_of_studyFinite impulse responsebusiness.industryProcess (engineering)PopulationEvolutionary algorithmMachine learningcomputer.software_genreFilter designDifferential evolutionMemetic algorithmArtificial intelligencebusinesseducationcomputerDigital filter
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Velocity sensorless control of uncertain load using RKF tuned with an evolutionary algorithm and mu-analysis

2010

Abstract In case of a velocity control scheme for a load directly driven by an actuator, large variations of its parameters are problematic due to possible instability and large variations of the final performances. This performances are then decreasing if a sensorless control is implemented due to cost, reliability or application constraints. This paper proposes solutions to quickly and accurately tune an observer with a lower computer time consumption and lower conception time. A previous calculated state feedback is used as base for a Kalman filter with special noise matrices. An evolutionary algorithm optimizes the observers degrees of freedom all over the variations. The mu-analysis th…

Engineeringevolutionary algorithmOptimization algorithmbusiness.industrymotion controlEvolutionary algorithmrobust Kalman filterKalman filtermu-analysiMotion controlInstabilityMotion control ; Robustness ; OptimizationSettore ING-INF/04 - AutomaticaRobustness (computer science)Control theorySenseless controlbusinessActuatorrobustneoptimization[SPI.NRJ] Engineering Sciences [physics]/Electric powerIFAC Proceedings Volumes
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Exploring FPGA‐Based Lock‐In Techniques for Brain  Monitoring Applications

2017

Functional near‐infrared spectroscopy (fNIRS) systems for e‐health applications usually suffer from poor signal detection, mainly due to a low end‐to‐end signal‐to‐noise ratio of the electronics chain. Lock‐in amplifiers (LIA) historically represent a powerful technique helping to improve performance in such circumstances. In this work a digital LIA system, based on a Zynq® field programmable gate array (FPGA) has been designed and implemented, in an attempt to explore if this technique might improve fNIRS system performance. More broadly, FPGA‐based solution flexibility has been investigated, with particular emphasis applied to digital filter parameters, needed in the digital LIA, and its …

Engineeringhardware description language (HDL) near‐infrared  spectroscopy (NIRS)light emitting diode (LED)Computer Networks and Communicationslcsh:TK7800-836002 engineering and technologysilicon photomultiplier (SiPM)Settore ING-INF/01 - Elettronica01 natural sciencesSignaldigital lock‐in amplifier (DLIA)law.invention hardware description language (HDL)microprocessorslawVHDL0202 electrical engineering electronic engineering information engineeringElectronic engineeringDetection theoryElectrical and Electronic EngineeringField-programmable gate arraycomputer.programming_languagebusiness.industryNoise (signal processing)lcsh:Electronics010401 analytical chemistryEmphasis (telecommunications)near‐infrared spectroscopy (NIRS)020206 networking & telecommunications0104 chemical sciences light emitting diode (LED) microprocessorsfield programmable gate array (FPGA)Microprocessordigital lock‐in amplifier (DLIA)Hardware and ArchitectureControl and Systems EngineeringSignal Processingbusinessdigital lock‐in amplifier (DLIA); field programmable gate array (FPGA); near‐infrared  spectroscopy (NIRS); hardware description language (HDL); light emitting diode (LED); silicon  photomultiplier (SiPM); microprocessors field programmable gate array (FPGA) silicon  photomultiplier (SiPM)Digital filtercomputerComputer hardwareElectronics
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A Technique for Power Supply Harmonic Impedance Estimation Using a Controlled Voltage Disturbance

2002

A method for power system impedance estimation is presented. The method employs a power converter to inject a voltage transient onto the supply system. As the technique employs controlled power electronic devices it may be used as a stand alone piece of a portable measurement equipment, or it may be embedded into the functions of an active shunt filter for improved harmonic control. The impedance is estimated through correlation of the measured voltage and current transients. Simulations and experimental results demonstrate the measurement technique is highly accurate and effective.

Engineeringindustrial power systemsSwitched-mode power supplybusiness.industryImpedance measurementImpedance bridgingHardware_PERFORMANCEANDRELIABILITYVoltage optimisationpower qualityElectric power systempower system measurements.Power electronicsElectronic engineeringVoltage sourceElectrical and Electronic EngineeringbusinessActive filterNegative impedance converter
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Mass loading, distribution, and removal of antibiotics and antiretroviral drugs in selected wastewater treatment plants in Kenya.

2020

The discharge of active pharmaceutical ingredients (APIs) into the aquatic environment from wastewater effluents is a concern in many countries. Although many studies have been conducted to evaluate the APIs removal efficiencies and emissions to the environment in wastewater treatment plants (WWTPs), most of these studies considered the aqueous and sludge phases, disregarding the suspended particulate matter (SPM) phase. To try to understand the role of the SPM, the occurrence of five most common antibiotics and three antiretroviral drugs (ARVDs) commonly used in Kenya were investigated in this study. APIs partitioning and mass loading in influents and effluents of three different WWTPs: tr…

Environmental Engineering010504 meteorology & atmospheric sciencesHydraulic retention timeTrickling filterlääkeainejäämätHIV Infectionsjätevesi010501 environmental sciencespharmaceuticalsWastewater01 natural sciencesMass loadingWaste Disposal FluidEnvironmental ChemistryHumansWaste Management and DisposalEffluent0105 earth and related environmental sciencesjäteveden käsittelyjätevedenpuhdistamotSewageenvironmental emissionantibiootitParticulatesPulp and paper industryPollutionsuspended particulate matterKenyaAnti-Bacterial Agentsnegative removal efficienciessludgelääkkeetWastewaterHigh massEnvironmental scienceSewage treatmentWater Pollutants ChemicalEnvironmental MonitoringThe Science of the total environment
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Specific detection of cyclobutane pyrimidine dimers in phytoplankton DNA by a non-radioactive assay based on T4-endonuclease V digestion.

2001

The effect of artificial and natural UV irradiation on DNA in marine phytoplankton Isochrysis galbana monoculture was investigated. The presence of cyclobutane pyrimidine dimers (CPDs) in unlabelled I. galbana DNA was detected by a non-radiometric alkaline filter elution assay after T4-endonuclease V digestion. The quantity of CPDs was estimated by alkaline agarose gel electrophoresis. Precise determination of the amount of DNA in the presence of I. galbana pigments was achieved by oxazole yellow homodimer (YOYO) dye. T4-endonuclease V-sensitive sites frequency (ESS/kb), measured after exposure to 2-40 kJ m(-2) of artificial UV light, increased in a dose-dependent manner. Twelve hours after…

Environmental EngineeringDNA RepairDNA damageDNA repairUltraviolet RaysPyrimidine dimerIsochrysis galbanachemistry.chemical_compoundPigmentDeoxyribonuclease (Pyrimidine Dimer)Viral ProteinsEnvironmental ChemistryWaste Management and DisposalEndodeoxyribonucleasesbiologyAlkaline filter elution; crude oil; DNA damage; phytoplankton; UV; sunlightbiology.organism_classificationPollutionPetroleumBiochemistrychemistryCell culturePyrimidine Dimersvisual_artAgarose gel electrophoresisPhytoplanktonvisual_art.visual_art_mediumSunlightBiological AssayDNADNA DamageThe Science of the total environment
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Biological nitrogen removal from municipal landfill leachate: low-cost nitrification in biofilters and laboratory scale in-situ denitrification.

2002

The slow leaching of nitrogen from solid waste in landfills, resulting in high concentrations of ammonia in the landfill leachate, may last for several decades. The removal of nitrogen from leachate is desirable as nitrogen can trigger eutrophication in lakes and rivers. In the present study, a low-cost nitrification-denitrification process was developed to reduce nitrogen load especially in leachates from small landfills. Nitrification was studied in laboratory and on-site pilot aerobic biofilters with waste materials as filter media (crushed brick in upflow filters and bulking agent of compost in a downflow filter) while denitrification was studied in a laboratory anoxic/anaerobic column …

Environmental EngineeringDenitrificationTime FactorsNitrogenengineering.materialWater PurificationLeachateLeaching (agriculture)Waste Management and DisposalWater Science and TechnologyCivil and Structural EngineeringChromatographyBioreactor landfillCompostEcological ModelingEnvironmental engineeringHydrogen-Ion ConcentrationPulp and paper industryPollutionWaste treatmentBiofilmsBiofilterengineeringCosts and Cost AnalysisEnvironmental scienceNitrificationFiltrationWater Pollutants ChemicalWater research
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