Search results for "RTAI"

showing 10 items of 1960 documents

Uncertainty evaluation in the measurements for the electric power quality analysis

2013

The paper deals with the uncertainty estimation in the measurements performed to assess the electric power quality. In a first steps, according to the 'ISO - Guide to Expression of the Uncertainty in Measurements' all the error sources, which give a significant contribution to the combined uncertainty associated to the measurement results, are identified. Successively, in order to analyze how the errors propagate through the measurement chain, a Monte Carlo based approach is proposed. The method exploits an ad-hoc developed simulator of the measurement process, which takes into account the particular way of propagation of all the identified error sources. Eventually, with the aim of validat…

EngineeringElectric power qualitymeasurement standardpower system measurementMeasurement uncertaintyMonte Carlo methodpower supply qualitySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciPower measurementpower quality analysisUncertainty analysisObservational errorelectric power quality analysiSeries (mathematics)business.industryProcess (computing)UncertaintyData acquisitionmeasurement uncertainty evaluationerror source identificationCurrent measurementExpression (mathematics)Reliability engineeringmeasurement systemISO standardguide to expression of the uncertainty in measurementMeasurement uncertaintybusinessad hoc developed simulatorNoiseAlgorithmSettore ING-INF/07 - Misure Elettriche E Elettronichemeasurement error
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Comparison of different uncertainty techniques in urban stormwater quantity and quality modelling

2011

Abstract Urban drainage models are important tools used by both practitioners and scientists in the field of stormwater management. These models are often conceptual and usually require calibration using local datasets. The quantification of the uncertainty associated with the models is a must, although it is rarely practiced. The International Working Group on Data and Models, which works under the IWA/IAHR Joint Committee on Urban Drainage, has been working on the development of a framework for defining and assessing uncertainties in the field of urban drainage modelling. A part of that work is the assessment and comparison of different techniques generally used in the uncertainty assessm…

EngineeringEnvironmental Engineering* MCMCRainmedia_common.quotation_subjectBayesian probability* Parameter probability distributionBayesian inferencecomputer.software_genre* MICAsymbols.namesake* GLUEWater QualityStatistics* Bayesian inferenceComputer SimulationQuality (business)CitiesGLUEWaste Management and Disposal* Urban drainage modelWater Science and TechnologyCivil and Structural Engineeringmedia_common* SCEM-UALikelihood Functions* Multi-objective auto-calibrationSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryEcological ModelingUncertaintyMarkov chain Monte CarloModels TheoreticalPollutionMarkov ChainsRunoff model* UncertaintieMetropolis–Hastings algorithmsymbolsProbability distribution* AMALGAMData miningbusinessMonte Carlo MethodcomputerAlgorithmsSoftware
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Hybrid moving bed biofilm reactors: an effective solution for upgrading a large wastewater treatment plant

2009

Over the last few years there has been a growing attention regarding the receiving water body quality state. As a matter of a fact, the Directive 91/271 of the European Union (EU) replaced the “emission standard” concept that fixes discharge limits depending on polluting emission characteristics, with the “stream standard” concept that fixes discharge limits for each polluting substance depending on self-depurative characteristics of the RWB. In this context, several WWTPs need to be upgraded in order to meet stricter effluent limits. The need of WWTP upgrading was also emphasized by the growing urbanization that have led, in most cases, to get overloaded WWTP due to an overcoming of the ma…

EngineeringEnvironmental EngineeringContext (language use)trickling filtersWaste Disposal Fluidmoving bed biofilm reactorGPS-XMotionBioreactorsmedia_common.cataloged_instanceEuropean unionWater Science and Technologymedia_commonWaste managementSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryEmission standardEnvironmental engineeringUncertaintyIFASWaste treatmentKineticsPilot plantUpgradeBiofilmspilot plantCalibrationSewage treatmentbusinessSoftwareWaste disposal
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comparing two start-up strategies for MBRs: experimental study and mathematical modelling

2012

Abstract The performance of a membrane bioreactor (MBR), and mechanisms of fouling formation, may differ due to the start-up. Therefore, the start-up can constitute an aspect that critically influences MBR performance during its lifespan. Indeed, the start-up can influence the mechanisms of membrane fouling, which is of paramount importance in an MBR. In order to gain insights on the effects of the start-up, both experimental and mathematical modelling studies were carried out on an MBR pilot plant. The MBR pilot plant constituted of a hollow fibre membrane module, in a submerged configuration, was fed by real wastewater. Two experimental periods were carried out, lasting 65 days each, char…

EngineeringEnvironmental EngineeringFoulingSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryMembrane foulingBiomedical EngineeringEnvironmental engineeringBioengineeringExperimental pilot plant ASM1-SMP Calibration protocol Fouling MBR modelling Start-upStart upMembrane bioreactorActivated sludgePilot plantWastewaterUncertainty estimationBiochemical engineeringbusinessBiotechnology
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Uncertainty assessment of a membrane bioreactor model using the GLUE methodology

2010

A mathematical model for the simulation of physical-biological organic removal by means of a membrane bioreactor (MBR) has been previously developed and tested. This paper presents an analysis of the uncertainty of the MBR model. Particularly, the research explores the applicability of the Generalised Likelihood Uncertainty Estimation (GLUE) methodology that is one of the most widely used methods for investigating the uncertainties in the hydrology and that now on is spreading in other research field. For the application of the GLUE methodology, several Monte Carlo simulations have been run varying the all model influential parameters simultaneously. The model was applied to an MBR pilot pl…

EngineeringEnvironmental EngineeringSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleMathematical modelbusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaMonte Carlo methodBiomedical EngineeringBackwashingBioengineeringMembrane bioreactorMathematical modelPilot plantRobustness (computer science)Data qualityASMMembrane bioreactorUncertainty assessmentProcess engineeringbusinessGLUEBiotechnologyBiochemical Engineering Journal
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A Dempster-Shafer Theory-based approach to the Failure Mode, Effects and Criticality Analysis (FMECA) under epistemic uncertainty: application to the…

2017

Abstract Failure Mode and Effects Analysis (FMEA) is a safety and reliability analysis tool widely used for the identification of system/process potential failures, their causes and consequences. When aimed at the failure modes prioritization, FMEA is named Failure Mode, Effects and Criticality Analysis (FMECA). In the latter case, failure modes are commonly prioritized by means of the Risk Priority Number (RPN) that has been widely criticized to have several shortcomings. Firstly, in the presence of multiple experts supplying different and uncertain judgments on risk parameters, RPN is not able to deal with such a kind of information. Therefore, the present paper proposes the Dempster-Shaf…

EngineeringEpistemic uncertainty021103 operations researchFailure modes prioritizationbusiness.industryProcess (engineering)0211 other engineering and technologiesDempster-Shafer Theory02 engineering and technologyInterval (mathematics)Industrial and Manufacturing EngineeringReliability engineeringIdentification (information)Propulsion systemFailure mode effects and criticality analysisDempster–Shafer theorySettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingUncertainty quantificationSafety Risk Reliability and QualitybusinessFailure mode and effects analysisReliability (statistics)FMECAReliability Engineering & System Safety
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DEVELOPMENT OF HISTORY OF EDUCATION IN THE CONTEXT OF TEACHER TRAINING IN UNIVERSITIES: THE CASE OF LATVIA AND BELGIUM

2021

The aim of this study is to seek answers to the following questions: 1) How has the formation and development of the history of education interacted with teacher training in universities? 2) How did the Iron Curtain influence the development of the history of education in Latvia and how can the consequences of Soviet era in the history of education be overcome? 3) What kind of history of education is suitable for teacher training programmes today? These questions are researched based on the analysis of the history of pedagogy as a course in Latvian and Belgian universities. KEY WORDS: history of pedagogy, revisionism in the history of pedagogy, “new” history of education, teacher training, …

EngineeringHistory of educationbusiness.industryPedagogyMathematics educationlanguageLatvianContext (language use)businessTraining (civil)Iron Curtainlanguage.human_languageTiltai
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Uncertainty estimation of a complex water quality model: The influence of Box–Cox transformation on Bayesian approaches and comparison with a non-Bay…

2012

Abstract In urban drainage modelling, uncertainty analysis is of undoubted necessity. However, uncertainty analysis in urban water-quality modelling is still in its infancy and only few studies have been carried out. Therefore, several methodological aspects still need to be experienced and clarified especially regarding water quality modelling. The use of the Bayesian approach for uncertainty analysis has been stimulated by its rigorous theoretical framework and by the possibility of evaluating the impact of new knowledge on the modelling predictions. Nevertheless, the Bayesian approach relies on some restrictive hypotheses that are not present in less formal methods like the Generalised L…

EngineeringIntegrated urban drainage systemSettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryWastewater treatment plantBayesian probabilityBayesian inferencePower transformBayesian inferenceGeophysicsGeochemistry and PetrologyHomoscedasticityStatisticsWater-quality modellingEconometricsGeneralised Likelihood Uncertainty Estimation (GLUE)Sensitivity analysisReceiving water bodybusinessLikelihood functionGLUEUncertainty analysis
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Assessment of data and parameter uncertainties in integrated water-quality model

2011

In integrated urban drainage water quality models, due to the fact that integrated approaches are basically a cascade of sub-models (simulating sewer system, wastewater treatment plant and receiving water body), uncertainty produced in one sub-model propagates to the following ones depending on the model structure, the estimation of parameters and the availability and uncertainty of measurements in the different parts of the system. Uncertainty basically propagates throughout a chain of models in which simulation output from upstream models is transferred to the downstream ones as input. The overall uncertainty can differ from the simple sum of uncertainties generated in each sub-model, dep…

EngineeringMathematical optimizationEnvironmental EngineeringWaste Disposal FluidWater MovementsDecomposition (computer science)Sensitivity analysisUpstream (networking)Citiesreceiving water bodywastewater treatment plantUncertainty analysisWater Science and TechnologyPropagation of uncertaintySettore ICAR/03 - Ingegneria Sanitaria-Ambientalebusiness.industryenvironmental modellingUncertaintyWaterintegrated urban drainage systemModels TheoreticalItalyCascadeVariance decomposition of forecast errorsSanitary Engineeringuncertainty analysibusinessEnvironmental MonitoringWaste disposalWater Science and Technology
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Reliable estimates in the anisotropic heat conduction problems

2014

Abstract The heat conduction problems for anisotropic bodies are studied taking into account the uncertainties in the material orientation. The best estimations of the upper and lower bounds of the considered energy dissipation functional are based on developing new approach consisting in solution of some optimization problems and finding the extremal internal material structures, which realize minimal and maximal dissipation. The motivation of this study comes from paper making processes, and more precisely, drying process, which consumes about 50% of the energy fed into the paper machine. The understanding of the effect of uncertainties in the process arises from structural properties of …

EngineeringMathematical optimizationbusiness.product_categoryOptimization problembusiness.industry020209 energyAnisotropic materialProcess (computing)02 engineering and technologyDissipationThermal conductionUpper and lower boundsUncertaintiesPaper machine020401 chemical engineeringlämmön johtuminen0202 electrical engineering electronic engineering information engineeringApplied mathematics0204 chemical engineeringAnisotropybusinessReliable estimatesEnergy (signal processing)Journal of Uncertainty Analysis and Applications
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