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Record W2147069287 · doi:10.1109/pesc.1988.18168

Harmonic minimization in delta modulated inverters using tuned filters

2003· article· en· W2147069287 on OpenAlexaff
M.A. Rahman, John E. Quaicoe, M. A. Choudhury

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsHarmonicsWaveformHarmonicFilter (signal processing)Harmonic analysisIntegratorMinificationPulse-width modulationElectronic engineeringSIGNAL (programming language)Computer scienceControl theory (sociology)Low-pass filterInverterCutoff frequencyVoltageEngineeringPhysicsBandwidth (computing)Electrical engineeringAcousticsTelecommunicationsArtificial intelligence

Abstract

fetched live from OpenAlex

The integrator in the modulator of delta PWM inverters acts as a filter to estimate the input reference signal from the output waveform for comparison purposes. The use of a tuned filter allows the online variation of filter cutoff frequency and ensures minimization of desired harmonics from the output of the inverter. This method is particularly suitable for delta-modulated inverters used in variable-frequency applications. The modulator's harmonic performance has been studied using a windowed discrete Fourier transform. The theoretical results were verified experimentally. The significance of the modulator lies in its simplicity, versatility, and ease of online harmonic minimization, which is achieved without predetermination of the switching points.>

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 head0.026
GPT teacher head0.216
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations20
Published2003
Admission routes1
Has abstractyes

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