MétaCan
Menu
Back to cohort
Record W2550742535 · doi:10.1109/icece.2014.7026877

Modeling and transient performance analysis of a hysteresis IPM motor

2014· article· en· W2550742535 on OpenAlexaff
S. F. Rabbi, M.A. Rahman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsHysteresisRotor (electric)Transient (computer programming)MagnetMaterials scienceSynchronous motorControl theory (sociology)Magnetic hysteresisFinite element methodSquirrel-cage rotorInduction motorVoltageMagnetic fieldEngineeringPhysicsMechanical engineeringComputer scienceElectrical engineeringStructural engineeringMagnetizationCondensed matter physics

Abstract

fetched live from OpenAlex

A hysteresis interior permanent magnet (IPM) motor is a solid-rotor self-starting hybrid synchronous motor combining both hysteresis phenomena and permanent magnet excitation inside the rotor. The rotor of a hysteresis IPM motor consists of a solid hysteresis ring made of composite materials of high degree of magnetic hysteresis energy per unit volume. High energy density rare earth permanent magnets are buried inside the rotor hysteresis ring. This paper presents the modeling and transient analysis of a hysteresis IPM motor using finite element methods. Electrical equivalent circuits of a hysteresis IPM motor have been presented considering the d-q axis saliency of the rotor. Transient finite element analysis of a 2.5kW 208V 3-phase 4-pole hysteresis IPM motor has been carried out using ANSYS Maxwell Electromagnetic field simulation software. Simulation results are presented and explained in this paper.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.180
Teacher spread0.172 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicElectric Motor Design and AnalysisFrench-language works237,207