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Record W1999070029 · doi:10.1109/icaect.2014.6757077

A fixed-frequency LCC-type resonant converter with inductive output filter using a modified gating scheme

2014· article· en· W1999070029 on OpenAlexaff
Shantanav Bhowmick, Ashoka K. S. Bhat

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsGatingFilter (signal processing)Control theory (sociology)VoltagePulse-width modulationElectronic engineeringSINADRForward converterBoost converterComputer scienceEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

A fixed frequency, series-parallel or LCC-type resonant converter with an inductive output filter, controlled using a modified gating scheme is proposed. The converter is analyzed for steady-state using approximate complex ac circuit analysis method. Based on the analysis, a simple design procedure is given and illustrated with a design example of a 300 to 420 V DC input; 1 kW, 48 V output converter. This converter using a modified gating scheme has increased number of switches operating with zero-voltage switching. Detailed PSIM simulation results are presented to demonstrate the performance of the designed converter for wide variations in the input voltage and load conditions. The designed converter requires a narrow variation in the pulse-width of the gating signals for wide variation in the load while the peak current through the switches decrease with the load current.

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 score0.001
Threshold uncertainty score0.004

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.223
Teacher spread0.199 · 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

Citations7
Published2014
Admission routes1
Has abstractyes

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