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Record W1972970361 · doi:10.1002/etep.4450130507

A new synthetic loading of induction machines based on phase modulation

2003· article· en· W1972970361 on OpenAlex
Jafar Soltani, B. Szabados

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

VenueEuropean Transactions on Electrical Power · 2003
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsVoltageInduction generatorControl theory (sociology)Generator (circuit theory)Modulation (music)Three-phaseInduction motorPhase (matter)Computer scienceEngineeringElectronic engineeringAcousticsElectrical engineeringPhysicsPower (physics)Artificial intelligence

Abstract

fetched live from OpenAlex

Abstract Synthetic loading of induction machines are used to test machines for temperature rise and total losses without the need for attaching mechanical load to the shaft. A new phase modulation technique of the voltage is proposed in lieu of the traditional two‐frequency method. A simple bang‐bang DC switch is used to modulate the excitation current of an induction generator. System modeling was performed using the traditional two‐axis method, and has proven that the method is feasible. Practical test results are shown to validate the simulated performance. It is shown that the only constraint of this synthetic loading is to maintain the RMS values of the current and voltage at rated values.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.983
Threshold uncertainty score0.664

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 head0.010
GPT teacher head0.218
Teacher spread0.208 · 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