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Record W2118758029 · doi:10.1109/ccece.2004.1347689

Impedance characterization of a six-phase synchronous generator-rectifier system using average-value model

2004· article· en· W2118758029 on OpenAlex
Juri Jatskevich, T. Aboul-Seoud

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRectifier (neural networks)Electrical impedanceParametric statisticsGenerator (circuit theory)Control theory (sociology)Permanent magnet synchronous generatorComputer scienceThree-phaseParametric modelPrecision rectifierElectronic engineeringEngineeringPhysicsPower factorPower (physics)MathematicsVoltageElectrical engineering

Abstract

fetched live from OpenAlex

A parametric approach for developing a dynamic average-value model of a machine-rectifier system is presented. The method initially requires a detailed switched model from which the rectifier/DC-link dynamics are captured using numerical averaging. The method is applied to a 240 Hz 6-phase synchronous generator-rectifier system. This system exhibits several distinct modes of operation. The output impedance is extracted using the averaged model developed for one of the modes. The resulting model is compared against the detailed simulation and shown to be very accurate in the time- and in frequency-domains.

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.

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: none
Teacher disagreement score0.532
Threshold uncertainty score0.553

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 head0.209
Teacher spread0.202 · 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

Quick stats

Citations12
Published2004
Admission routes1
Has abstractyes

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