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Record W3151801428 · doi:10.1109/imtc.2006.328578

Stabilizing of a Synthetic Loading Test Rig for Large Induction Machines

2006· article· en· W3151801428 on OpenAlex

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

VenueConference proceedings - IEEE Instrumentation/Measurement Technology Conference · 2006
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsControl theory (sociology)Induction motorSensitivity (control systems)Oscillation (cell signaling)ExcitationComputer sciencePower (physics)Phase (matter)Control (management)EngineeringPhysicsVoltageElectronic engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

This paper analyzes the possible causes of power oscillation through the driver motor of a dual system synthetic loading experiment. Since the experimental results do not match the results from simulation it is necessary to study the causes in order to compensate for this phenomenon. It is shown that there are several factors which can be responsible. The electrical direct axis of the machines have to be aligned and that can be achieved with a phase delay in the excitation. The magnitude and shape of the excitation is also shown to contribute to the effect, and we can prove it through parameter sensitivity analysis. Finally a control strategy is proposed which optimises the oscillations to within 8% instead of over 30% at start

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.027
GPT teacher head0.231
Teacher spread0.204 · 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