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Record W2113327637 · doi:10.1109/tpel.2002.807143

Modeling and analysis of wound integrated LCT structure for single stage resonant PFC rectifier

2003· article· en· W2113327637 on OpenAlexaff
K. Laouamri, Jean-Paul Ferrieux, S. Catellani, J. Barbaroux

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2003
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsInductorCapacitorConvertersTransformerTopology (electrical circuits)Network topologyRectifier (neural networks)Electronic engineeringPower factorElectrical engineeringEngineeringComputer scienceVoltage

Abstract

fetched live from OpenAlex

In the literature, several AC/DC converters are studied and presented. All kinds of topologies and techniques are covered under this topic. This includes single-switch, half-bridge and full bridge topologies as well as hard, quasi-resonant and resonant switching. Different techniques are also developed to control these converters ensuring high power factor. The aim of this paper is to present a low-cost solution for low-power applications. A high-frequency AC to DC converter that respects the EN 61000-3-2 standard and is suitable for applications in the power range of 300 W, is presented. Its topology is based on a full-bridge series-resonant converter that operates below half the resonant frequency. The converter features zero-current for both turn-on and turn-off and reduces the switching current for the output rectifier. These advantages make the series-resonant topology suitable for operation at high frequency. Thus, electromagnetic integration of the LCT network (inductor-capacitor-transformer) is successfully applied owing to the fact that the inductor and the capacitor values are relatively small at this range of frequency. Computer simulation and experimental results are presented.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.872
Threshold uncertainty score0.829

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 head0.010
GPT teacher head0.224
Teacher spread0.214 · 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 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

Citations17
Published2003
Admission routes1
Has abstractyes

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