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Record W2539776432 · doi:10.1109/peds.2005.1619851

Modeling of a Converter-Connected Six-Phase Permanent Magnet Synchronous Generator

2006· article· en· W2539776432 on OpenAlexaff
Kai Zhang, Hossein Madadi Kojabadi, Peixin Wang, Liuchen Chang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsStatorPermanent magnet synchronous generatorMATLABComputer scienceElectromagnetic coilThree-phaseGenerator (circuit theory)Rectifier (neural networks)MagnetInverterVoltageElectrical engineeringControl theory (sociology)EngineeringPhysicsPower (physics)

Abstract

fetched live from OpenAlex

A MATLAB/Simulink model of a six-phase permanent magnet synchronous generator is established for simulation purpose. The machine is part of a microturbine generation system and is to be connected with a rectifier and a grid-connected inverter. It has two sets of three-phase windings on the stator side, which are shifted by 30 electrical degrees with each other. The internal dynamics of the machine is derived in a stationary d-q frame and then realized in MATLAB/Simulink with a user-definable S-function. The electrical interface with the converter is realized with a combination of voltage measuring units and controlled current sources provided by Simulink itself.

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 score0.456
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.199
Teacher spread0.192 · 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

Citations16
Published2006
Admission routes1
Has abstractyes

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