Search results for " Fault"

showing 10 items of 239 documents

Accelerated bearing life-Time test rig development for low speed data acquisition

2017

Condition monitoring plays an important role in rotating machinery to ensure reliability of the equipment, and to detect fault conditions at an early stage. Although health monitoring methodologies have been thoroughly developed for rotating machinery, low-speed conditions often pose a challenge due to the low signal-to-noise ratio. To this aim, sophisticated algorithms that reduce noise and highlight the bearing faults are necessary to accurately diagnose machines undergoing this condition. In the development phase, sensor data from a healthy and damaged bearing rotating at low-speed is required to verify the performance of such algorithms. A test rig for performing accelerated life-time t…

0209 industrial biotechnologyComputer scienceCondition monitoring and bearing and low-speed machinery and fault diagnosis and test rig; Software; Control and Systems Engineering; Modeling and Simulation; Computer Science Applications1707 Computer Vision and Pattern RecognitionTest rig02 engineering and technologyLow-speed Machinerylcsh:QA75.5-76.95Automotive engineeringlaw.inventionModeling and simulationTest Rig020901 industrial engineering & automationData acquisitionSoftwarelaw0202 electrical engineering electronic engineering information engineeringBearing (mechanical)business.industryCondition monitoring and bearing and low-speed machinery and fault diagnosis and test rig020208 electrical & electronic engineeringLife timeComputer Science Applications1707 Computer Vision and Pattern RecognitionFault DiagnosisComputer Science ApplicationsLow speedControl and Systems EngineeringEmbedded systemModeling and SimulationBearinglcsh:Electronic computers. Computer sciencebusinessCondition MonitoringSoftware
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Current fault signatures of Voltage Source Inverters in different reference frames

2016

This paper considers different current patterns used to identify the correct fault signatures in Voltage Source Inverters (VSI). At the beginning, the Authors consider the currents patterns from which a simple or a double fault can be encompassed both in the case of controllable device only or with its free wheeling companion diode. After the discussion of diagnosis algorithm suitable for electrical drives and principally based on a persistent near zero current condition current in the natural phase reference frame, the stationary reference frame is then considered as a tool to identify both the faulted phase as the device or various combination of faulted devices. On the contrary, the Auth…

0209 industrial biotechnologyEngineeringControl and Optimization02 engineering and technologyFault (power engineering)020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringElectronic engineeringVoltage sourceDouble faultPWM inverterElectrical and Electronic EngineeringStationary Reference Framebusiness.industryMechanical Engineering020208 electrical & electronic engineeringControl reconfigurationFault toleranceRotating reference frameVoltage Source InverterFaultAutomotive EngineeringbusinessReference frameDiagnosi
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Health Indicator for Low-Speed Axial Bearings Using Variational Autoencoders

2020

This paper proposes a method for calculating a health indicator (HI) for low-speed axial rolling element bearing (REB) health assessment by utilizing the latent representation obtained by variational inference using Variational Autoencoders (VAEs), trained on each speed reference in the dataset. Further, versatility is added by conditioning on the speed, extending the VAE to a conditional VAE (CVAE), thereby incorporating all speeds in a single model. Within the framework, the coefficients of autoregressive (AR) models are used as features. The dimensionality reduction inherent in the proposed method lowers the need of expert knowledge to design good condition indicators. Moreover, the sugg…

0209 industrial biotechnologyGeneral Computer Sciencegenerative modelsComputer sciencecondition monitoring02 engineering and technologyLatent variableunsupervised learningFault detection and isolationBearing fault detection020901 industrial engineering & automationVDP::Teknologi: 500::Maskinfag: 5700202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencevariational autoencoderconditional variational autoencoderbusiness.industryDimensionality reduction020208 electrical & electronic engineeringGeneral EngineeringPattern recognitionData pointAutoregressive modelRolling-element bearingFalse alarmArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringbusinesslcsh:TK1-9971IEEE Access
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Metabolism and Transport of Sugars and Organic Acids by Lactic Acid Bacteria from Wine and Must

2017

Oenococcus oeni and other heterofermentative lactic acid bacteria from wine are able to grow at the expense of hexose and pentose sugars using the phosphoketolase pathway. Fermentation of hexoses is limited by low activity of the enzymes for ethanol production. Erythritol is formed as an alternative product, but the enzymes of the pathway are mostly unknown. Presence of fructose, citrate, pyruvate or O2 results in a shift of hexose fermentation to acetate at the expense of ethanol. O. oeni and other lactic acid bacteria are able to degrade organic acids of wine such as citrate, l-malate, pyruvate, l-tartrate and fumarate. The pathways for tartrate and fumarate degradation are known only in …

0301 basic medicineFermentation in winemakingWinebiologyChemistry030106 microbiologyfood and beveragesSugars in wineWine faultbiology.organism_classificationLactic acid03 medical and health scienceschemistry.chemical_compound030104 developmental biologyBiochemistryMalolactic fermentationFermentationOenococcus oeni
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Elusive active faults in a low strain rate region (Sicily, Italy): Hints from a multidisciplinary land-to-sea approach

2022

Low Strain Rate regions (LSRrs), i.e., areas undergoing tectonic deformation at rates of 1 mm/yr or less, often host important cities and highly vulnerable anthropogenic assets, and due to their subdued topography and relatively infrequent seismicity, are often considered low seismic hazard areas. Despite this, infrequent but high-magnitude earthquakes in such regions suggest that identifying active structures in the LSRr is one of the primary challenges for both the scientific community and modern societies. In such regions, one of the main issues in identifying active faults is the lack of valuable outcrop data due to erosional/sedimentation rates overwhelming the fault deformation, causi…

3D Fault modelMorphotectonic evolution modelGeophysicsLand-to-sea approachSettore GEO/02 - Geologia Stratigrafica E SedimentologicaSettore GEO/03 - Geologia StrutturaleLow strain rate regionActive deformationNorthern Sicilian continental margin (southern Italy)Settore ICAR/06 - Topografia E CartografiaEarth-Surface Processes
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Geodetic and geological evidence of active tectonics in south-western Sicily (Italy)

2014

Abstract Integrated geological, geodetic and marine geophysical data provide evidence of active deformation in south-western Sicily, in an area spatially coincident with the macroseismic zone of the destructive 1968 Belice earthquake sequence. Even though the sequence represents the strongest seismic event recorded in Western Sicily in historical times, focal solutions provided by different authors are inconclusive on possible faulting mechanism, which ranges from thrusting to transpression, and the seismogenic source is still undefined. Interferometric (DInSAR) observations reveal a differential ground motion on a SW–NE alignment between Campobello di Mazara and Castelvetrano (CCA), locate…

Active tectonicsPleistoceneSettore GEO/02 - Geologia Stratigrafica E SedimentologicaSettore GEO/03 - Geologia StrutturaleGeodetic datumSicilian fold and thrust belt; Geodesy; Active tectonicsaActive faultTranspressionTectonicsSequence (geology)GeophysicsSeismic hazardThrust faultActive tectonicsaGeologySeismologySicilian fold and thrust beltGeodesyEarth-Surface ProcessesSicilian fold and thrust belt; Geodesy; Active tectonics
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Tectonic control over large-scale diffuse degassing in eastern Sicily (Italy)

2002

Eastern Sicily (southern Italy) is characterised by the presence of many natural gas emissions (mofettes, mud volcanoes). These gases are mostly carbon dioxide and methane, with minor amounts of helium, hydrogen, carbon monoxide and hydrocarbons. In this study, the extent and orientation of soil gas anomalies (He and CO2) were investigated on a wide area (approximately 110 km2) located just SW of Mt. Etna. From a structural point of view, this area lays on a typical foredeep–foreland system that marks the boundary between the southern part of the Eurasian plate and the northern part of the African plate in the central Mediterranean. No tectonic structure was revealed in this area by surface…

African PlateTotal organic carbonNatural gasbusiness.industryEarth scienceSoil gasEurasian PlateGeneral Earth and Planetary SciencesActive faultbusinessMantle (geology)GeologyMud volcanoGeofluids
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Experimental characterization of variable-speed packaged rooftop units in presence of evaporator fouling

2022

Variable-speed packaged rooftop units have been increasingly adopted in the commercial sector. If not properly maintained, the fouling of heat exchangers and the improper refrigerant charge could increase energy consumption. In this work, the response of variable-speed rooftop units to evaporator fouling is investigated based on experiments on a variable-speed 17.5 kW rooftop unit. A novel testing procedure is proposed, aimed at covering a broad range of operating conditions by a reduced number of tests. Two opposite cases were investigated: (i) even in presence of fouling, the controller can restore the required cooling capacity, and (ii) the intensity of the fouling does not allow the con…

Air-conditioning systems Fouling Faults Detection and Diagnosis Variable-speed Rooftop Unit Testing Procedure.Settore ING-IND/10 - Fisica Tecnica Industriale
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Aroma release in the oral cavity after wine intake is influenced by wine matrix composition

2018

The aim of this study has been to investigate if wine matrix composition might influence the interaction between odorants and oral mucosa in the oral cavity during a “wine intake-like” situation. Aroma released after exposing the oral cavity of three individuals to different wines (n = 12) previously spiked with six target aromas was followed by an -in vivo intra-oral SPME approach. Results showed a significant effect of wine matrix composition on the intra-oral aroma release of certain odorants. Among the wine matrix parameters, phenolic compounds showed the largest impact. This effect was dependent on their chemical structure. Some phenolic acids (e.g. hippuric, caffeic) were associated t…

Alcohol DrinkingAroma-wine matrix interactions[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionIntra-oral aroma releasephenolic metabolitessalivary proteinsWineperceptionGas Chromatography-Mass SpectrometryAnalytical ChemistrytanninMatrix (chemical analysis)chemistry.chemical_compound0404 agricultural biotechnologyPhenolic compositionLinaloolmodel wineHumansFood scienceAromaWineMouthChromatographybiologyretronasal aromaEthyl hexanoatefood and beverages04 agricultural and veterinary sciencesGeneral Medicinered wineWine faultbiology.organism_classificationhuman feces040401 food sciencestomatognathic diseaseschemistryWineIntra-oral aroma releaseOdorantsmolecular-levelComposition (visual arts)Oral mucosaGas chromatography–mass spectrometryheadspace[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood ScienceAroma persistence
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Deep learning strategies for automatic fault diagnosis in photovoltaic systems by thermographic images

2021

Abstract Losses of electricity production in photovoltaic systems are mainly caused by the presence of faults that affect the efficiency of the systems. The identification of any overheating in a photovoltaic module, through the thermographic non-destructive test, may be essential to maintain the correct functioning of the photovoltaic system quickly and cost-effectively, without interrupting its normal operation. This work proposes a system for the automatic classification of thermographic images using a convolutional neural network, developed via open-source libraries. To reduce image noise, various pre-processing strategies were evaluated, including normalization and homogenization of pi…

Artificial neural networkContextual image classificationRenewable Energy Sustainability and the EnvironmentComputer sciencebusiness.industry020209 energyDeep learningEnergy Engineering and Power TechnologyPattern recognitionSobel operatorAutomatic Fault recognition Convolutional Neural Network Photovoltaics TensorFlow Infrared Thermography02 engineering and technologyPerceptronConvolutional neural networkThresholdingThermographic inspectionFuel Technology020401 chemical engineeringNuclear Energy and Engineering0202 electrical engineering electronic engineering information engineeringArtificial intelligence0204 chemical engineeringbusinessEnergy Conversion and Management
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