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Record W2128250700 · doi:10.1049/iet-pel.2013.0025

Marx dc–dc converter for high‐power application

2013· article· en· W2128250700 on OpenAlexaff
Etienne Veilleux, Boon‐Teck Ooi, Peter W. Lehn

Bibliographic record

VenueIET Power Electronics · 2013
Typearticle
Languageen
FieldEngineering
TopicSilicon Carbide Semiconductor Technologies
Canadian institutionsUniversity of TorontoMcGill University
Fundersnot available
KeywordsCapacitorTopology (electrical circuits)Marx generatorDiodeĆuk converterCascadePower (physics)Forward converterBoost converterCharge pumpElectrical engineeringFlyback converterGenerator (circuit theory)Electronic engineeringVoltageComputer scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

This study presents a dc–dc converter based on the Marx generator principle of charging capacitors in parallel followed by reconnection in series for discharging and for creating higher voltage. The topology uses solid‐state switches like IGBTs as well as diodes. The concept and the operation of converter are described as well as design steps. The validity of the design is confirmed using PSCAD/EMTDC software package. The topology is compared with the conventional boost where the Marx dc–dc converter is shown to be competitive and even advantageous for higher dc gain. A cascade configuration is also presented and a 5 kW prototype with two stages made of two capacitors per stage is presented for experimental validation of the concept.

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 score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.005
GPT teacher head0.202
Teacher spread0.197 · 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

Citations46
Published2013
Admission routes1
Has abstractyes

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