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Record W2111357090 · doi:10.1109/pesw.2002.985031

Combined analytical and finite element modeling for negative sequence studies in salient pole synchronous machines

2003· article· en· W2111357090 on OpenAlexaffabout
Haran Karmaker

Bibliographic record

Venue2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309) · 2003
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsGeneral Electric (Canada)
Fundersnot available
KeywordsPermeanceSalientFinite element methodRotor (electric)SoftwareField (mathematics)Sequence (biology)Phase (matter)Computer scienceMechanical engineeringEngineeringPhysicsMathematicsStructural engineering

Abstract

fetched live from OpenAlex

A new software package called WAVE has been developed by the author's company in collaboration with the University of Alberta, Canada to calculate the airgap flux density from MMF and permeance functions in salient pole synchronous machines. The permeance functions are derived from the magnetostatic finite element analysis using linear steel properties. Negative sequence rotor heating effects have been studied using the new software tool. The calculated currents in the amortisseur bars show good correlation with measured currents for a synchronous machine with phase-phase short circuit. The fractional slot machines requiring a large number of pole pitches for field solution by time-stepping finite element analysis can be analyzed with the new software tool with very low computational resources.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.397
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
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 head0.029
GPT teacher head0.259
Teacher spread0.230 · 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

Citations5
Published2003
Admission routes2
Has abstractyes

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