Search results for " Bayesian Approach"

showing 2 items of 2 documents

Particle identification in ALICE: a Bayesian approach

2016

We present a Bayesian approach to particle identification (PID) within the ALICE experiment. The aim is to more effectively combine the particle identification capabilities of its various detectors. After a brief explanation of the adopted methodology and formalism, the performance of the Bayesian PID approach for charged pions, kaons and protons in the central barrel of ALICE is studied. PID is performed via measurements of specific energy loss ($\mathrm{d}E/\mathrm{d}x$) and time-of-flight. PID efficiencies and misidentification probabilities are extracted and compared with Monte Carlo simulations using high-purity samples of identified particles in the decay channels ${\rm K}^0_S \righta…

:Kjerne- og elementærpartikkelfysikk: 431 [VDP]Monte Carlo methodGeneral Physics and AstronomyPID controllerPP01 natural sciencesParticle identificationHigh Energy Physics - ExperimentParticle identificationHigh Energy Physics - Experiment (hep-ex)ALICEHadron-Hadron scattering (experiments)Heavy-ion collisionNuclear and High Energy Physics Hadron-Hadron scattering (experiments) Heavy Ion Experiments Heavy-ion collision Quark gluon plasma Particle identification Bayesianscattering [p p][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Experiment (nucl-ex)Detectors and Experimental TechniquesNuclear ExperimentNuclear ExperimentPhysicsefficiency [particle identification]PB COLLISIONSVDP::Kjerne- og elementærpartikkelfysikk: 431Monte Carlo [numerical calculations]PB COLLISIONS PP PERFORMANCE.:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]PRIRODNE ZNANOSTI. Fizika.Time of flight:Nuclear and elementary particle physics: 431 [VDP]VDP::Nuclear and elementary particle physics: 431performancemomentum spectrum [charged particle]Nuclear and High Energy PhysicsParticle physicsMesoneducationBayesian probabilityFOS: Physical sciencesQuark gluon plasma[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencesBayesianNuclear physicsPhysics and Astronomy (all)PionHeavy Ion Experiments0103 physical sciencesddc:530010306 general physics010308 nuclear & particles physicsBayesian approach:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]ALICE experimentPERFORMANCEparticle identification ; Bayesian approachNATURAL SCIENCES. Physics.PB COLLISIONS; TEV; PP; PERFORMANCEPhysics - Data Analysis Statistics and ProbabilityQuark–gluon plasmaBayesian [statistics]TEVHigh Energy Physics::Experimentparticle identificationData Analysis Statistics and Probability (physics.data-an)
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A predictive maintenance policy with imperfect monitoring

2010

For many systems,failure is a very dangerous or costly event. To reduce the occurrence of this event,it is necessary to implement a preventive maintenance policy to replace the critical elements before failure.Since elements do not often exhibit incipient faults, they are replaced before a complete exploiting of their useful life.To conjugate the objective of exploiting elements for almost all their useful life with the objective to avoid failure,condition based and,more recently,predictive maintenance policies have been proposed.This paper deals with this topic and proposes a procedure for the computation of the maintenance time that minimizes the global maintenance cost.By adopting a stoc…

Engineeringbusiness.industryStochastic modellingEvent (computing)Bayesian probabilityMonitoring systemSystem monitoringPreventive maintenanceIndustrial and Manufacturing EngineeringPredictive maintenanceReliability engineeringPredictive maintenance Bayesian Approach Imperfect maonitoringImperfectSafety Risk Reliability and QualitybusinessReliability Engineering & System Safety
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