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Record W2142543702 · doi:10.1109/ccece.2000.849645

Prediction of harmonics produced by multiple variable speed drives with randomly fluctuating loads

2002· article· en· W2142543702 on OpenAlexaff
É. Ngandui, E.J. Mohammed, A. Chériti

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMachine Fault Diagnosis Techniques
Canadian institutionsUniversité du Québec à Trois-RivièresHydro-QuébecNatural Sciences and Engineering Research Council of Canada
Fundersnot available
KeywordsReactanceHarmonicsMonte Carlo methodHarmonicRandom variableHarmonic analysisMagnitude (astronomy)Control theory (sociology)Bivariate analysisProbabilistic logicVariable (mathematics)Induction motorLine (geometry)MathematicsComputer scienceStatistical physicsPhysicsVoltageStatisticsEngineeringAcousticsMathematical analysisElectrical engineeringGeometry

Abstract

fetched live from OpenAlex

This paper presents statistical description of the magnitude of the sum of injected harmonic currents produced by multiple AC drive with randomly fluctuating loads using bivariate normal distribution (BND) method. The effects of motors speeds and input line reactance variations upon the probabilistic behavior of the magnitude of the vectorial sum of random harmonic vectors are investigated. Monte Carlo simulation is performed to justify the obtained results.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.560

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 head0.013
GPT teacher head0.200
Teacher spread0.188 · 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 designBench or experimental
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

Citations3
Published2002
Admission routes1
Has abstractyes

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