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Novel Two-Stage AC-DC Power Converter with Partial Single-Stage Power Processing

2023· article· en· W4386632131 on OpenAlexaff
M. Abolghasemi Fakhri, Adel Ali Abosnina, Gerry Moschopoulos, Shamim Mohammadsalehian

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsWestern University
Fundersnot available
KeywordsBoost converterĆuk converterForward converterFlyback converterBuck–boost converterBuck converterPulse-width modulationElectronic engineeringPower (physics)Computer scienceElectrical engineeringVoltageEngineeringPhysics

Abstract

fetched live from OpenAlex

AC-DC power conversion is typically implemented with two converter stages: an AC-DC boost converter stage followed by a zero-voltage switching (ZVS) pulse-width modulated (PWM) full-bridge converter stage. An active auxiliary circuit is often used to reduce switching losses in the first-stage converter. The use of such a circuit to transfer a portion of the input power directly to the output of a two-stage AC-DC converter is investigated in the paper. Such direct power transfer (DPT) allows a portion of the power from the input to be processed only once, instead of twice, thus reducing the losses and the current stresses of the second-stage DC-DC converter. In this paper, the basic operating principles of the converter are explained, the features of the first-stage AC-DC boost converter are stated, and a set of guidelines for the design of the converter are given. The feasibility of the proposed converter is confirmed with experimental 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 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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.018
GPT teacher head0.238
Teacher spread0.220 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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