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Record W2153323623 · doi:10.1109/tmag.2009.2012637

Time-Stepping FE Analysis of Cage Induction Motor With Air-Gap Interface Coupling Taking Into Account Phase-Belt Harmonics

2009· article· en· W2153323623 on OpenAlexaff
Youcef Ouazir, Noureddine Takorabet, R. Ibtiouen, M. Benhaddadi

Bibliographic record

VenueIEEE Transactions on Magnetics · 2009
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsHarmonicsComputationTransient (computer programming)Coupling (piping)Rotor (electric)Induction motorFinite element methodHarmonic analysisTime steppingInterface (matter)PhysicsComputer scienceMechanicsControl theory (sociology)Materials scienceVoltageMathematical analysisMathematicsAlgorithm

Abstract

fetched live from OpenAlex

The air-gap interface coupling method is developed to simulate the rotor movement with time-stepping finite element (TSFE) method for the computation of transient operation of induction motors. The use of Fourier decomposition of magnetic vector potential on the coupling interface leads to the consideration of only the first or just significant space harmonics in FE computation. In this way, the study is focused on the reduction of computation time in the transient state analysis of induction motor. The obtained results are validated through measurements.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.604
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.016
GPT teacher head0.248
Teacher spread0.232 · 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.

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

Citations16
Published2009
Admission routes1
Has abstractyes

Explore more

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