Search results for "inter-turn short circuit"

showing 3 items of 3 documents

Real-Time Detection of Incipient Inter-Turn Short Circuit and Sensor Faults in Permanent Magnet Synchronous Motor Drives Based on Generalized Likelih…

2022

This paper presents a robust model-based technique to detect multiple faults in permanent magnet synchronous motors (PMSMs), namely inter-turn short circuit (ITSC) and encoder faults. The proposed model is based on a structural analysis, which uses the dynamic mathematical model of a PMSM in an abc frame to evaluate the system’s structural model in matrix form. The just-determined and over-determined parts of the system are separated by a Dulmage–Mendelsohn decomposition tool. Subsequently, the analytical redundant relations obtained using the over-determined part of the system are used to form smaller redundant testable sub-models based on the number of defined fault terms. Furthermore, fo…

VDP::Teknologi: 500VDP::Teknologi: 500::Maskinfag: 570fault diagnosis; inter-turn short circuit; sensor fault; structural analysis; generalized likelihood ratio test; PM synchronous motorElectrical and Electronic EngineeringBiochemistryInstrumentationAtomic and Molecular Physics and OpticsAnalytical ChemistrySensors (Basel, Switzerland)
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Mixed Fault Classification of Sensorless PMSM Drive in Dynamic Operations Based on External Stray Flux Sensors

2022

This paper aims to classify local demagnetisation and inter-turn short-circuit (ITSC) on position sensorless permanent magnet synchronous motors (PMSM) in transient states based on external stray flux and learning classifier. Within the framework, four supervised machine learning tools were tested: ensemble decision tree (EDT), k-nearest neighbours (KNN), support vector machine (SVM), and feedforward neural network (FNN). All algorithms are trained on datasets from one operational profile but tested on other different operation profiles. Their input features or spectrograms are computed from resampled time-series data based on the estimated position of the rotor from one stray flux sensor t…

Support Vector Machinedemagnetisationinter-turn short circuitChemical technologydemagnetisation; inter-turn short circuit; machine learning; permanent magnet synchronous motor; variable speed; variable loadTP1-1185BiochemistryAtomic and Molecular Physics and OpticsAnalytical ChemistryComputingMethodologies_PATTERNRECOGNITIONmachine learningpermanent magnet synchronous motorvariable speedVDP::Teknologi: 500::Maskinfag: 570Magnetsvariable loadNeural Networks ComputerSupervised Machine LearningElectrical and Electronic EngineeringInstrumentationAlgorithmsSensors (Basel, Switzerland)
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Field Reconstruction for Modeling Multiple Faults in Permanent Magnet Synchronous Motors in Transient States

2021

Conventional field reconstruction model (FRM) for electrical machines has proved its main strength in efficient computations of magnetic fields and forces in healthy permanent magnet synchronous machines (PMSM) or faulty machines in steady states. This study aims to develop a magnet library of different magnet defects and include inter-turn short-circuit (ITSC) in the FRM for PMSM. The developed FRM can model a combination fault between ITSC, and magnet defect in a PMSM in transient states. Within the framework, an 8-turn ITSC was modelled in both finite element analysis (FEA) and FRM, and then identified by the extended Park’s vector approach. The air-gap magnetic field reproduced b…

General Computer ScienceRotor (electric)Computer scienceStatorMathematics::General Mathematicsinter-turn short circuitfield reconstructionGeneral EngineeringFault (power engineering)Finite element methodlaw.inventionMagnetic fieldTK1-9971VDP::Teknologi: 500DemagnetisationlawControl theoryElectromagnetic coilMagnetpermanent magnet synchronous motorGeneral Materials ScienceTransient (oscillation)Electrical engineering. Electronics. Nuclear engineeringIEEE Access
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