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Record W2150551292 · doi:10.1109/pesc.2008.4592501

A novel voltage-fed ac-dc full-bridge converter

2008· article· en· W2150551292 on OpenAlexafffund
Pritam Das, Gerry Moschopoulos

Bibliographic record

VenuePESC record · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsWestern University
FundersNational Research Council CanadaNational Science Council
KeywordsConvertersForward converterFlyback converterĆuk converterBoost converterPower factorComputer scienceElectronic engineeringPulse-width modulationBuck–boost converterCharge pumpVoltageElectrical engineeringEngineeringCapacitor

Abstract

fetched live from OpenAlex

AC-DC converters typically have two converter stages - an AC-DC stage operating with power factor correction (PFC) and an isolated DC-DC stage. Researchers have proposed various integrated converters that combine the two stages into a single converter that simultaneously performs both AC-DC conversion with PFC and DC-DC conversion. In the case of voltage-fed integrated converters, however, the primary-side DC bus voltage is left unregulated, which can result in several converter performance problems such as excessive intermediate DC bus voltage and distorted input current. A new integrated voltage fed PWM single-stage converter that does not have these problems and can be used for high output power and at the same time follow IEC1000-3-4 harmonic limits and will have excellent input power factor (>0.98) will be proposed in the paper. The paper will explain the operation of the converter in detail, discuss its features, and explain how the converter can be designed. Results obtained from an experimental prototype that confirm the feasibility of the proposed converter will be presented in the paper.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.021
GPT teacher head0.220
Teacher spread0.198 · 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 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
Published2008
Admission routes2
Has abstractyes

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