MétaCan
Menu
Back to cohort
Record W2072999554 · doi:10.1109/ccece.2006.277368

Harmonic Analysis for Induction Motors

2006· article· en· W2072999554 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsSchlumberger (Canada)
Fundersnot available
KeywordsHarmonicsInduction motorHarmonicHarmonic analysisTorqueElectromagnetic coilControl theory (sociology)PhysicsComputer scienceAcousticsElectronic engineeringEngineeringElectrical engineeringVoltage

Abstract

fetched live from OpenAlex

Two types of harmonics are investigated for induction motors: space harmonics and time harmonics. Space harmonics are generated due to the different phase windings interaction when the power supply is sinusoidal and they can be reduced by applying a proper machine design. As an example, the electromagnetic field and corresponding harmonics of an electrical machine are calculated using the finite element method, the harmonic winding factors show how the space harmonics can be reduced significantly by good winding design. Because of the wide application of variable frequency drives, time harmonics have become a main concern related to motor performance in field operations. The harmonic equivalent circuits are presented in this paper for both space and time harmonics and they are powerful tools to calculate the motor parameters such as harmonic currents and torques. The formulas to calculate the harmonic slips and torques are derived, and the torque characteristics for both types of harmonics are compared.

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 score0.787
Threshold uncertainty score0.244

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 head0.011
GPT teacher head0.201
Teacher spread0.190 · 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

Citations50
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicElectric Motor Design and AnalysisFrench-language works237,207