Search results for "CATIONS"

showing 10 items of 10791 documents

Adaptive consensus-based distributed detection in WSN with unreliable links

2016

Event detection is a crucial tasks in wireless sensor networks. The importance of a fast response makes distributed strategies, where nodes exchange information just with their one-hop neighbors to reach local decisions, more adequate than schemes where all nodes send observations to a central entity. Distributed detectors are usually based on average consensus, where all nodes iteratively communicate to asymptotically agree on a final result. In a realistic scenario, communications are subject to random failures, which impacts the performance of the consensus. We propose an alternative detector, which adapts to the statistical properties of the consensus and compensate deviations from the …

0209 industrial biotechnologyEvent (computing)business.industryComputer scienceDistributed computingDetector020206 networking & telecommunications02 engineering and technologyKey distribution in wireless sensor networks020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringbusinessWireless sensor networkComputer network2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Influence of friction stir processing conditions on the manufacturing of Al-Mg-Zn-Cu alloy/boron carbide surface composite

2018

Abstract Surface metal matrix composites were synthesized via friction stir processing (FSP) on the surface of aluminium alloy 7075 (AA 7075) sheets by incorporating B4C particles (B4CP). The influence of tool rotational speeds, powder particle sizes, and change in tool travel direction between FSP passes on particle distribution and resulting properties were studied in detail. Change in tool travel direction, decreased tool rotation speed and fine B4C particles enhanced B4CP distribution and wear properties thereof. Wear resistance of composites were doubled on account of the B4CP distribution and resultant several strengthening mechanisms.

0209 industrial biotechnologyFriction stir processingMaterials scienceAlloyComposite number02 engineering and technologyBoron carbideengineering.materialIndustrial and Manufacturing EngineeringFriction stir processingchemistry.chemical_compound020901 industrial engineering & automationWearAluminium alloyAluminiumBoron carbideComposite materialSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneStrengthening mechanisms of materialsMetals and AlloysRotational speed021001 nanoscience & nanotechnologyComputer Science ApplicationsMetal matrix compositechemistryModeling and Simulationvisual_artCeramics and Compositesvisual_art.visual_art_mediumengineeringParticleMaterials processing0210 nano-technology
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Power losses in power-split CVTs: A fast black-box approximate method

2018

Abstract This paper addresses the mechanical losses of planetary transmissions, with particular attention to power-split CVTs in their hybrid electric versions. It provides unified layout-independent analytical relationships, which can be used for both analysis, design and control purposes, and a simplified approach; the latter overcomes the necessity to segment the operating range of the power-split CVT in order to keep its loss model physically consistent. An example of application to a real hybrid electric PS-CVT is performed to show the simplicity, accuracy and generality of the proposed method.

0209 industrial biotechnologyGeneralityHybrid electric vehicleComputer scienceMechanical EngineeringPower split CVTBioengineeringComputer Science Applications1707 Computer Vision and Pattern Recognition02 engineering and technologyGM voltecSettore ING-IND/13 - Meccanica Applicata Alle MacchineComputer Science ApplicationsPower (physics)020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringPower splitMechanics of MaterialsControl theoryBlack boxSimplicity (photography)Range (statistics)Mechanics of MaterialPlanetary gearing losse
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Graph Filtering of Time-Varying Signals over Asymmetric Wireless Sensor Networks

2019

In many applications involving wireless sensor networks (WSNs), the observed data can be modeled as signals defined over graphs. As a consequence, an increasing interest has been witnessed to develop new methods to analyze graph signals, leading to the emergence of the field of Graph Signal Processing. One of the most important processing tools in this field is graph filters, which can be easily implemented distributedly over networks by means of cooperation among the nodes. Most of previous works related to graph filters assume the same connection probability in both link directions when transmitting an information between two neighboring nodes. This assumption is not realistic in practice…

0209 industrial biotechnologyGraph signal processingComputer sciencemedia_common.quotation_subject020206 networking & telecommunications02 engineering and technologyAsymmetryGraphBackground noiseFilter design020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringWireless sensor networkAlgorithmmedia_common2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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Preventing the oil film instability in rotor-dynamics

2016

Horizontal rotor systems on lubricated journal bearings may incur instability risks depending on the load and the angular speed. The instability is associated with the asymmetry of the stiffness matrix of the bearings around the equilibrium position, in like manner as the internal hysteretic instability somehow, where some beneficial effect is indeed obtainable by an anisotropic configuration of the support stiffness. Hence, the idea of the present analysis is to check if similar advantages are also obtainable towards the oil film instability. The instability thresholds are calculated by usual methods, such as the Routh criterion or the direct search for the system eigenvalues. The results …

0209 industrial biotechnologyHistoryEngineeringMechanical equilibriummedia_common.quotation_subjectAngular velocity02 engineering and technologyRotordynamicsInstabilityEducationlaw.inventionOil film instability rotordynamics020901 industrial engineering & automation0203 mechanical engineeringlawmedicineEccentricity (behavior)media_commonStiffness matrixbusiness.industryRotor (electric)StiffnessMechanicsComputer Science Applications020303 mechanical engineering & transportsClassical mechanicsmedicine.symptombusinessJournal of Physics: Conference Series
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Direct Torque Control of a Small Wind Turbine with a Sliding-Mode Speed Controller

2016

In this paper. the method of direct torque control in the presence of a sliding-mode speed controller is proposed for a small wind turbine being used in water heating applications. This concept and control system design can be expanded to grid connected or off-grid applications. Direct torque control of electrical machines has shown several advantages including very fast dynamics torque control over field-oriented control. Moreover. the torque and flux controllers in the direct torque control algorithms are based on hvsteretic controllers which are nonlinear. In the presence of a sliding-mode speed control. a nonlinear control system can be constructed which is matched for AC/DC conversion …

0209 industrial biotechnologyHistoryEngineeringWind powerVector controlSmall wind turbinebusiness.industry02 engineering and technologyPermanent magnet synchronous generatorTurbineWind speedComputer Science ApplicationsEducationPhysics and Astronomy (all)020901 industrial engineering & automationDirect torque controlControl theory0202 electrical engineering electronic engineering information engineeringTorque020201 artificial intelligence & image processingbusinessJournal of Physics: Conference Series
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Virtual sensing of load forces in hydraulic actuators using second- and higher-order sliding modes

2019

Abstract External load forces are challenging for sensing or estimating in the hydraulic actuators. Once it is due to inconvenient instrumentation of the force sensors, especially on an open-end mechanical interface. The other way, the complex nonlinear system behavior aggravates reconstructing the system states in a robust and real-time suitable manner. This paper proposes a sensorless estimation of external load forces in standard hydraulic actuators by using a well-established equivalent output injection of the second-order sliding mode and also higher-order sliding mode differentiator. Only the basic inertial and frictional parameters are assumed to be known from an initial identificati…

0209 industrial biotechnologyInertial frame of referenceComputer scienceApplied MathematicsInstrumentation020208 electrical & electronic engineering02 engineering and technologyComputer Science Applicationslaw.inventionCylinder (engine)Hydraulic cylinderPistonDifferentiatorNonlinear system020901 industrial engineering & automationControl and Systems EngineeringlawControl theory0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringActuatorControl Engineering Practice
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A novel clustering-based algorithm for solving spatially-constrained robotic task sequencing problems

2021

The robotic task sequencing problem (RTSP) appears in various forms across many industrial applications and consists of developing an optimal sequence of motions to visit a set of target points defined in a task space. Developing solutions to problems involving complex spatial constraints remains challenging due to the existence of multiple inverse kinematic solutions and the requirements for collision avoidance. So far existing studies have been limited to relaxed RTSPs involving a small number of target points and relatively uncluttered environments. When extending existing methods to problems involving greater spatial constraints and large sets of target points, they either require subst…

0209 industrial biotechnologyKinematicsClustering algorithmsService robotsComputer scienceTKComputation02 engineering and technologyKinematicsTask (project management)Reduction (complexity)Set (abstract data type)Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020901 industrial engineering & automationoptimal planningSequential analysisRobotic task sequencingElectrical and Electronic EngineeringCluster analysisSequenceCollision avoidanceComputer Science ApplicationsControl and Systems EngineeringmanipulationTask analysisAutonomous inspectionTask analysisAlgorithmIEEE/ASME Transactions on Mechatronics
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An Ontology to Support Semantic Management of FMEA Knowledge

2016

<p>Risk mitigation has always been a special concern for organization’s strategic management. Various tools and techniques have been developed to manage risk in an effective way. Failure Mode and Effects Analysis (FMEA) is one of the tools used for effective assessment of risk. It analyzes all potential failure modes, their causes, and effects on a product or process. Moreover it recommends actions to mitigate failures in order to enhance product reliability. Organizations spend their resources and domain experts make their efforts to complete this analysis. It further helps organizations identify the expected risks and plan strategies in advance to tackle them. But unfortunately the …

0209 industrial biotechnologyKnowledge managementComputer Networks and Communicationsbusiness.industryProcess (engineering)Computer science0102 computer and information sciences02 engineering and technologyReuseOntology (information science)01 natural sciencesComputer Science Applications020901 industrial engineering & automationComputational Theory and MathematicsData retrievalRisk analysis (engineering)010201 computation theory & mathematicsStrategic managementbusinessFailure mode and effects analysisRisk managementNatural languageInternational Journal of Computers Communications & Control
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Fault detection for nonlinear networked systems based on quantization and dropout compensation: An interval type-2 fuzzy-model method

2016

Abstract This paper investigates the problem of filter-based fault detection for a class of nonlinear networked systems subject to parameter uncertainties in the framework of the interval type-2 (IT2) T–S fuzzy model-based approach. The Bernoulli random distribution process and logarithm quantizer are used to describe the measurement loss and signals quantization, respectively. In the framework of the IT2 T–S fuzzy model, the parameter uncertainty is handled by the membership functions with lower and upper bounds. A novel IT2 fault detection filter is designed to guarantee the residual system to be stochastically stable and satisfy the predefined H ∞ performance. It should be mentioned that…

0209 industrial biotechnologyLogarithmCognitive NeuroscienceQuantization (signal processing)02 engineering and technologyFuzzy control systemResidualFuzzy logicFault detection and isolationComputer Science ApplicationsNonlinear system020901 industrial engineering & automationArtificial IntelligenceControl theory0202 electrical engineering electronic engineering information engineeringFuzzy number020201 artificial intelligence & image processingMathematicsNeurocomputing
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