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Record W1498047362 · doi:10.1109/ccece.2015.7129091

Analysis of a radial flux hysteresis IPM motor

2015· article· en· W1498047362 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
KeywordsHysteresisControl theory (sociology)Rotor (electric)MagnetSynchronous motorAC motorFinite element methodSynchronization (alternating current)Transient (computer programming)Squirrel-cage rotorComputer scienceInduction motorEngineeringPhysicsElectric motorMechanical engineeringVoltageElectrical engineeringTopology (electrical circuits)Structural engineeringCondensed matter physics

Abstract

fetched live from OpenAlex

Design of self-start permanent magnet motors over wide operating range has been a challenging topic of interest among the researchers over the last two decades. This paper presents the design and finite element analysis of a novel 1HP 208V 3-phase 4-pole line start radial flux hysteresis interior permanent magnet (IPM) motor. The proposed motor is a solid-rotor self-starting hybrid synchronous motor combining both hysteresis phenomena and permanent magnet excitation inside the rotor. The transient performance analysis results of the hysteresis IPM motor are presented and explained in this paper. Simulation results exhibit that the proposed hysteresis IPM motor has smooth starting and good synchronization capabilities.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score0.436

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 head0.017
GPT teacher head0.215
Teacher spread0.197 · 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

Citations6
Published2015
Admission routes1
Has abstractyes

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