Search results for "IDENTIFICATION"

showing 10 items of 1600 documents

Damage Identification of Beams Using Static Test Data

2003

A damage identification procedure for beams under static loads is presented. Damage is modelled through a damage distribution function which determines a variation of the beam stiffness with respect to a reference condition. Using the concept of the equivalent superimposed deformation, the equations governing the static problem are recast in a Fredholm’s integral equation of the second kind in terms of bending moments. The solution of this equation is obtained through an iterative procedure as well as in closed form. The latter is explicitly dependent from the damage parameters, thus, it can be conveniently used to set-up a damage identification procedure. Some numerical results are present…

NoiseIdentification (information)Distribution functionDeformation (mechanics)Bending stiffnessMathematical analysisStatic testingBending momentIntegral equationMathematics
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Robust adaptive algorithm with low computational cost

2006

An adaptive algorithm, which is robust to impulsive noise, is proposed. The cost function underlying this algorithm contains a parameter that controls the immunity to impulsive noise and can be easily adapted. Moreover, weight updating involves a nonlinear function, which recently has been shown to have an efficient hardware implementation. The proposed adaptive algorithm has been successfully tested in terms of accuracy and convergence on a system-identification simulation.

NoiseSignal processingComputational complexity theoryRate of convergenceAdaptive algorithmControl theoryConvergence (routing)System identificationFunction (mathematics)Electrical and Electronic EngineeringAlgorithmMathematicsElectronics Letters
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Numerical methods for nonlinear inverse problems

1996

AbstractInverse problems of distributed parameter systems with applications to optimal control and identification are considered. Numerical methods and their numerical analysis for solving this kind of inverse problems are presented, main emphasis being on the estimates of the rate of convergence for various schemes. Finally, based on the given error estimates, a two-grid method and related algorithms are introduced, which can be used to solve nonlinear inverse problems effectively.

Nonlinear inverse problemInverse problemsMathematical optimizationFinite element methodNumerical analysisApplied MathematicsInverse problemOptimal controlFinite element methodTwo-grid methodIdentification (information)Computational MathematicsRate of convergenceDistributed parameter systemError estimatesMathematicsJournal of Computational and Applied Mathematics
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Parameters identification of induction motor dynamic model for offshore applications

2014

The paper presents a technique to identify parameters of the LuGre dynamic friction model applied to represent mechanical losses of an induction motor. This method is based on Artificial Neural Networks (ANNs) system identification which is able to estimate parameters of nonlinear mathematical models. Within the presented approach, the network is first trained to associate model parameters with predicted friction torque, being given the reference motor speed. When this process completes, the inverse operation is performed and the network delivers estimated parameters of the model based on the reference friction torque. These parameters are then integrated with the dynamic model of the induc…

Nonlinear systemEngineeringDirect torque controlArtificial neural networkMathematical modelbusiness.industryControl theoryProcess (computing)System identificationControl engineeringbusinessInduction motorFriction torque2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)
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Identification of Nonlinear Systems Described by Hammerstein Models

2004

This paper deals with a method for identification of nonlinear systems suitable to be described by Hammerstein models consisting of a static nonlinearity followed by an ARX linear model. The estimation of the static nonlinearity is carried out supplying the system with a sequence of step signals of various amplitude and determining the corresponding steady-state responses. The estimation of the parameters of the ARX linear system is carried out by means of a least square estimator using data generated supplying the system with a Pseudorandom Binary Sequence (PRBS). The method in question is able to identify static nonlinearities of general type, also with hysteresis and/or discontinuities. …

Nonlinear systemSequenceAmplitudeSettore ING-INF/04 - AutomaticaControl theoryLinear systemLinear modelEstimatorClassification of discontinuitiesPseudorandom binary sequenceMathematicsHammerstein models identification nonlinear systems
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Identification of Spatial-Temporal Muscle Synergies from EMG Epochs of Various Durations: A Time-Warped Tensor Decomposition

2018

Extraction of muscle synergies from electromyography (EMG) recordings relies on the analysis of multi-trial muscle activation data. To identify the underlying modular structure, dimensionality reduction algorithms are usually applied to the EMG signals. This process requires a rigid alignment of muscle activity across trials that is typically achieved by the normalization of the length of each trial. However, this time-normalization ignores important temporal variability that is present on single trials as result of neuromechanical processes or task demands. To overcome this limitation, we propose a novel method that simultaneously aligns muscle activity data and extracts spatial and tempor…

Normalization (statistics)medicine.diagnostic_testbusiness.industryComputer scienceDimensionality reductionProcess (computing)Pattern recognitionElectromyographyTemporal muscleTask (project management)Identification (information)medicineArtificial intelligencebusinessTime complexity
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Final results of Borexino Phase-I on low-energy solar neutrino spectroscopy

2014

Borexino has been running since May 2007 at the Laboratori Nazionali del Gran Sasso laboratory in Italy with the primary goal of detecting solar neutrinos. The detector, a large, unsegmented liquid scintillator calorimeter characterized by unprecedented low levels of intrinsic radioactivity, is optimized for the study of the lower energy part of the spectrum. During Phase-I (2007–2010), Borexino first detected and then precisely measured the flux of the Be 7 solar neutrinos, ruled out any significant day-night asymmetry of their interaction rate, made the first direct observation of the pep neutrinos, and set the tightest upper limit on the flux of solar neutrinos produced in the CNO cycle …

Nuclear and High Energy PhysicsCNO cyclePhysics - Instrumentation and DetectorsPhysics and Astronomy (miscellaneous)Physics::Instrumentation and DetectorsSolar neutrinoFOS: Physical sciences7. Clean energy01 natural sciencesParticle identificationHigh Energy Physics - ExperimentPACS numbers: 13.35.Hb 14.60.St 26.65.+t 95.55.Vj 29.40.McNuclear physicsHigh Energy Physics - Experiment (hep-ex)0103 physical sciences010306 general physicsNeutrino oscillationBorexinoComputingMilieux_MISCELLANEOUSNuclear and High Energy PhysicPhysics[PHYS]Physics [physics]010308 nuclear & particles physicsFísicaInstrumentation and Detectors (physics.ins-det)Solar neutrino problemNeutrino detectorHigh Energy Physics::ExperimentNeutrino[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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The experience of building and operating COMPASS RICH-1

2010

COMPASS RICH-1 is a large size gaseous Imaging Cherenkov Detector providing hadron identification in the range from 3 to 55 GeV/c, in the wide acceptance spectrometer of the COMPASS Experiment at CERN SPS. It uses a 3 m long C(4)F(10) radiator, a 21 m(2) large VUV mirror surface and two kinds of photon detectors: MAPMTs and MWPCs with CsI photocathodes, covering a total of 5.5 m(2). It is in operation since 2002 and its performance has increased in time thanks to progressive optimization and mostly to a major upgrade which was implemented in 2006. The main characteristics of COMPASS RICH-1 components are described and some specific aspects related to the radiator gas system, the mirror alig…

Nuclear and High Energy PhysicsCherenkov detectorPhysics::Instrumentation and Detectors[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]COMPASS01 natural sciencesParticle identificationParticle identificationlaw.inventionNuclear physicsCOMPASS; CsI; MAPMT; Photon detection; PID; RICH; Instrumentation; Nuclear and High Energy PhysicsOpticslawCompass0103 physical sciencesCOMPASS experimentCsI photoconverter010306 general physicsRICHInstrumentationEvent reconstructionPhysicsLarge Hadron ColliderSpectrometer010308 nuclear & particles physicsbusiness.industryPIDUpgradePhoton detectionMAPMTCsIParticle identification; COMPASS; RICH; MAPMT; CsI photoconverterHigh Energy Physics::Experimentbusiness
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First measurement of f′2 (1525) production in Z0 hadronic decays

1996

The inclusive production of the f(2)'(1525) in hadronic Z(0) decays has been studied in data collected by the DELPHI detector at LEP. The Ring Imaging Cherenkov detectors were important tools in the identification of the decay f(2)'(1525) --> K+K-. The average number of f(2)(')(1525) produced per hadronic Z decay, [f(2)'] = 0.020 +/- 0.005 (stat) +/- 0.006 (syst), and the momentum distribution of the f(2)'(1525) have both been measured. The mass and width of the f(2)'(1525) are found to be [M(f2)'] = 1535 +/- 5 (stat) +/- 4 (syst) MeV/c(2). [Gamma(f2)'] = 60 +/- 20 (stat) +/- 19 (syst) MeV/c(2)

Nuclear and High Energy PhysicsLUND MONTE-CARLOCherenkov detectorElectron–positron annihilationK+KHadron01 natural sciencesPartícules (Física nuclear)JET FRAGMENTATIONPrime (order theory)law.inventionK identificationMomentumNuclear physicslaw0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Experiment010306 general physicsCherenkov radiationDELPHIPhysicsDELPHI; Cherenkov detector; K identificationE+E-PHYSICS010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyJ-PSILARGE ELECTRON POSITRON COLLIDERSTATESPARTICLE PHYSICS; LARGE ELECTRON POSITRON COLLIDER; DELPHIPARTICLE PHYSICSFísica nuclearHigh Energy Physics::ExperimentProduction (computer science)Particle Physics - ExperimentCherenkov detectorLUND MONTE-CARLO; JET FRAGMENTATION; E+E-PHYSICS; J-PSI; STATES; K+K
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Search for exclusive decays of the Lambda_b baryon and measurement of its mass

1996

A search for fully reconstructed \lb beauty baryons is performed using about 3 million Z decays collected with the DELPHI detector at LEP. The analysis relies on the combined use of the accurate tracking and of the hadron identification capabilities of DELPHI. A total of four events has been found, three in the \lc\ppm channel and one in the \lc\a1m channel over a small background. The \lb beauty baryon mass is measured to be (~ 5668 \pm 16~ ({\rm stat.}) \pm 8~({\rm syst.})~)~ \mv.

Nuclear and High Energy PhysicsParticle physicsHadronCombined useLambdaTracking (particle physics)01 natural sciencesPartícules (Física nuclear)Nuclear physicsbeauty baryon0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]010306 general physicsNuclear ExperimentDetectors de radiacióDELPHIPhysics010308 nuclear & particles physicsDetectorLARGE ELECTRON POSITRON COLLIDERBaryonDELPHI; beauty baryon; particle identificationPARTICLE PHYSICS; LARGE ELECTRON POSITRON COLLIDER; DELPHIPARTICLE PHYSICSHigh Energy Physics::Experimentparticle identificationParticle Physics - Experiment
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