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Record W1966650880 · doi:10.1109/ias.2011.6074400

On performances of wavelet modulated three phase AC-DC converters

2011· article· en· W1966650880 on OpenAlexaff
S. A. Saleh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsWaveletConvertersPulse-width modulationModulation (music)SIGNAL (programming language)Multiresolution analysisElectronic engineeringWavelet transformThree-phaseHarmonicVoltageComputer scienceDiscrete wavelet transformEngineeringPhysicsElectrical engineeringAcousticsArtificial intelligence

Abstract

fetched live from OpenAlex

This paper presents the implementation and performance testing of the wavelet modulation technique for three phase, 6-pulse, voltage source ac-dc converters. The wavelet modulation technique is based on utilizing sets of scale-based linearly-combined wavelet scaling and synthesis basis functions in order to construct a non-dyadic type multiresolution analysis (MRA). The analysis part of the constructed MRA creates three sets of groups of non-uniform recurrent samples from a reference dc signal. The synthesis part of the constructed MRA generates switching signals for operating the three phase ac-dc converter to synthesize the reference dc signal on its output side. The wavelet modulation technique is implemented for performance testing, when operating three phase ac-dc converters. Test results show that the wavelet modulation technique is capable of operating three-phase, 6-pulse, voltage source ac-dc converters to produce outputs with high dc components and reduced harmonic contents, while maintaining close-to-sinusoidal input currents at a nearunity power factor.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.951
Threshold uncertainty score0.999

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)0.0020.000

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 head0.035
GPT teacher head0.215
Teacher spread0.180 · 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.

Study designOther design
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

Citations8
Published2011
Admission routes1
Has abstractyes

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