Search results for " Fault detection"

showing 10 items of 13 documents

Robust fault detection for switched systems with time-varying delay using delta operator approach

2014

delta operatorControl and Systems EngineeringControl theoryfault detection observersswitched systemstime-varying delaysControl engineeringDelta operatordelta operator; fault detection observers; switched Lyapunov function; switched systems; time-varying delays; Control and Systems Engineeringswitched Lyapunov functionFault detection and isolationMathematics2014 UKACC International Conference on Control (CONTROL)
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A robust calibration methodology for an On-Board Diagnostic car system

2006

New car models are now by law equipped with on-board diagnostic (OBD) systems aimed at monitoring the state of health of strategic components that ensure low levels of polluting exhaust emissions. During development phases, for each new car model, the OBD system must be finely calibrated. This article presents a robust calibration methodology taking into account sources of variability mainly due to production process, operating, and environmental conditions. The methodology enables us to evaluate the false alarm and failure to detect risks intrinsically related to the adopted calibration. An application concerning an upstream oxygen sensor monitored by the OBD is presented.

EngineeringState of healthCalibration (statistics)business.industrySettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E TecnologicaIndustrial and Manufacturing EngineeringAutomotive engineeringFault detection and isolationOn-board diagnosticsApplications in engineering and industry Fault detection Hypothesis testing On-board diagnostics Robust parameter designUpstream (networking)False alarmSafety Risk Reliability and QualityRobust parameter designbusinessSimulationStatistical hypothesis testing
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Arc Fault Detection Method Based on CZT Low-Frequency Harmonic Current Analysis

2017

This paper presents a method for the detection of series arc faults in electrical circuits, which has been developed starting from an experimental characterization of the arc fault phenomenon and an arcing current study in several test conditions. Starting from this, the authors have found that is it possible to suitably detect arc faults by means of a high-resolution low-frequency harmonic analysis of current signal, based on chirp zeta transform, and a proper set of indicators. The proposed method effectiveness is shown by means of experimental tests, which were carried in both arcing and nonarcing conditions and in the presence of different loads, chosen according to the UL 1699 standard…

Engineeringarc fault detection020209 energyseries arcsArc-fault circuit interrupter02 engineering and technologyUL 1699Fault detection and isolationlaw.inventionHarmonic analysisElectric arcarc fault circuit interrupter (AFCI)Arc dischargeslawArc discharges arc fault circuit interrupter (AFCI) arc fault detection electrical safety fault diagnosis home protection interrupters power system harmonics power system measurements series arcs UL 1699Fault current limiterhome protection0202 electrical engineering electronic engineering information engineeringElectronic engineeringElectrical and Electronic EngineeringInstrumentationpower system harmonicsinterruptersbusiness.industry020208 electrical & electronic engineeringfault diagnosispower system measurementsFault indicatorElectrical networkHarmonicelectrical safetybusinessSettore ING-INF/07 - Misure Elettriche E Elettroniche
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Autoencoders and Recurrent Neural Networks Based Algorithm for Prognosis of Bearing Life

2018

Bearings are one of the most critical components in electric motors, gearboxes and wind turbines. Therefore, bearing fault detection and prognosis of remaining useful life are important to prevent productivity losses. In this study, a novel method is proposed for prognosis of bearing life using an autoencoder and recurrent neural networks-based prediction algorithm. Promising results have been obtained from the experimental data. A monotonic upward trend of the produced health indicator is obtained for all test cases, being one of critical indicators of a proper prognosis. The remaining useful life estimation is moderately accurate under a limited data.

Electric motor021103 operations researchBearing (mechanical)Computer science020208 electrical & electronic engineeringFeature extraction0211 other engineering and technologies02 engineering and technologyBearing fault detectionAutoencoderlaw.inventionRecurrent neural networkTest caselaw0202 electrical engineering electronic engineering information engineeringPrognosticsAlgorithm2018 21st International Conference on Electrical Machines and Systems (ICEMS)
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Characterization of DC series arc faults in PV systems based on current low frequency spectral analysis

2021

Abstract This work presents an experimental study focused on the characterization of series arc faults in direct current (DC) photovoltaic (PV) systems. The aim of the study is to identify some relevant characteristics of arcing current, which can be obtained by means of low frequency spectral analysis of current signal. On field tests have been carried out on a real PV system, in accordance with some tests requirements of UL 1699B Standard for protection devices against PV DC arc faults. Arcing and non-arcing current signals are acquired and compared and the behavior of a set of indicators proposed by authors is analyzed. Different measurement equipment have been used, in order to study th…

Computer scienceApplied Mathematics020208 electrical & electronic engineering010401 analytical chemistryDirect currentPhotovoltaic systemArc fault detection Electrical safety Fault diagnosis PV systems Series arcs UL 1699B02 engineering and technologyCondensed Matter Physics01 natural sciencesSignal0104 chemical sciencesElectric arcArc (geometry)Data acquisition0202 electrical engineering electronic engineering information engineeringElectronic engineeringMetering modeElectrical and Electronic EngineeringCurrent (fluid)InstrumentationSettore ING-INF/07 - Misure Elettriche E Elettroniche
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Mixed l-/l1 fault detection observer design for positive switched systems with time-varying delay via delta operator approach

2014

Published version of an article in the journal: International Journal of Control, Automation and Systems. Also available from the publisher at: http://dx.doi.org/10.1007/s12555-013-0466-1 This paper investigates the problem of fault detection observer design for positive switched systems with time-varying delay via delta operator approach. A new fault sensitivity measure, called l-index, is proposed. The l- fault detection observer design and multi-objective l -/l1 fault detection observer design problems are addressed. Based on the average dwell time approach and the piecewise copositive type Lyapunov-Krasovskii functional method in delta domain, sufficient conditions for the existence of …

VDP::Technology: 500::Mechanical engineering: 570Computer Science Applications1707 Computer Vision and Pattern RecognitionDelta operatorMechatronicsfault sensitivityFault (power engineering)positive switched systemsMeasure (mathematics)VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Fault detection and isolationfault detectionComputer Science Applicationsdelta operatorDwell timeControl theoryControl and Systems EngineeringPiecewiseAverage dwell time; delta operator; fault detection; fault sensitivity; positive switched systems; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern RecognitionSensitivity (control systems)Average dwell timeMathematics
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Investigation of motor current signature and vibration analysis for diagnosing rotor broken bars in double cage induction motors

2012

This paper investigates the detectability of rotor broken bars in double cage induction motors using current signature and vibration analysis techniques. Double cage induction motors are commonly used for applications where successive loaded starts-up are mandatory. Experimental results were performed under healthy and faulty cases, and for different load conditions using each technique. Rotor broken bars fault detection based on sideband current components may fails due to the presence of inter bar currents that reduce the degree of rotor asymmetry, yielding to a decrease of the magnitude of these spectral components. But inter bar currents produce core vibrations in the axial direction, w…

EngineeringSidebandBars Circuit faults Fault detection Induction motors Rotors Stators Vibrationsbusiness.industryRotor (electric)Squirrel-cage rotorBar (music)MOTOR CURRENT SIGNATURE ANALYSISStructural engineeringSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciVIBRATIONSWound rotor motorFault detection and isolationlaw.inventionVibrationCONDITION MONITORINGDOUBLE CAGE INDUCTION MOTORlawControl theorybusinessInduction motorInternational Symposium on Power Electronics Power Electronics, Electrical Drives, Automation and Motion
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Data-driven design of robust fault detection system for wind turbines

2014

Abstract In this paper, a robust data-driven fault detection approach is proposed with application to a wind turbine benchmark. The main challenges of the wind turbine fault detection lie in its nonlinearity, unknown disturbances as well as significant measurement noise. To overcome these difficulties, a data-driven fault detection scheme is proposed with robust residual generators directly constructed from available process data. A performance index and an optimization criterion are proposed to achieve the robustness of the residual signals related to the disturbances. For the residual evaluation, a proper evaluation approach as well as a suitable decision logic is given to make a correct …

EngineeringWind powerbusiness.industryMechanical EngineeringControl engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionResidualData-drivenTurbineFault detection and isolationComputer Science ApplicationsData-drivenNonlinear systemOptimization criterionPerformance indexControl and Systems EngineeringRobustness (computer science)Control theoryElectrical and Electronic EngineeringbusinessDecision tableRobustnessFault detectionWind turbineData-driven; Fault detection; Optimization criterion; Performance index; Robustness; Wind turbine; Mechanical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineering
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A Smart Sensing Method for Real- Time Monitoring of Low Voltage Series-Arc-Fault

2020

This paper proposes a smart sensing method for real-time monitoring of low voltage series arc fault. It is based on the wavelet coefficient mean-difference algorithm and the four spikes appearing within two fundamental periods criterion with adaptive threshold. The method also uses the hard thresholding wavelet denoising with the universal threshold. An arc fault factor and a load adaptation factor are introduced and combined with a correction factor, so allowing the selection of the adaptive threshold in real-time and the series arc fault detection.

Series arc faultSeries (mathematics)Computer science020208 electrical & electronic engineeringArc-fault circuit interrupter02 engineering and technologyArc fault current interrupter (AFCI)ThresholdingSettore ING-IND/31 - ElettrotecnicaWavelet0202 electrical engineering electronic engineering information engineeringElectronic engineeringWavelet denoisingSettore ING-INF/07 - Misure Elettriche E ElettronicheLow voltagearc fault detection devices (AFDD)2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)
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Modeling and Verification of Symbolic Distributed Applications Through an Intelligent Monitoring Agent

2022

Wireless Sensor Networks (WSNs) represent a key component in emerging distributed computing paradigms such as IoT, Ambient Intelligence, and Smart Cities. In these contexts, the difficulty of testing, verifying, and monitoring applications in their intended scenarios ranges from challenging to impractical. Current simulators can only be used to investigate correctness at source code level and with limited accuracy. This paper proposes a system and a methodology to model and verify symbolic distributed applications running on WSNs. The approach allows to complement the distributed application code at a high level of abstraction in order to test and reprogram it, directly, on deployed network…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniGeneral Computer ScienceGeneral EngineeringGeneral Materials ScienceElectrical and Electronic EngineeringDistributed applications Distributed processing Embedded Systems Fault detection Fault diagnosis Internet of Things Knowledge based systems Software maintenance Software monitoring Wireless sensor networksIEEE Access
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