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Record W1522989180 · doi:10.1109/ias.1990.152318

A 5 kW utility-interactive inverter operating at high frequency and using zero current turn off COMFET switches

2002· article· en· W1522989180 on OpenAlexaff
R. Chaffaï, Kamal Al‐Haddad, V. Rajagopalan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsSnubberInverterTransformerCommutationResonant inverterGrid-tie inverterElectrical engineeringElectronic engineeringComputer scienceVoltageCapacitorRLC circuitEngineering

Abstract

fetched live from OpenAlex

The design of a 5 kW utility-interactive high-performance series resonant inverter is described. The inverter operates in an inaudible frequency range (20 kHz-100 kHz) and in the quasi-resonant mode. The results of an analytical study of the inverter show that, in this mode of operation, the inverter output characteristics are of the current-source type independent of the output voltage of the AC utility. The inverter uses turn-on controllable COMFET switches in the soft commutation mode and does not require snubber circuits. This converter combines the advantages of working at high frequency (less weight, small reactive filters, and absence of low-frequency transformer) and of using resonant links that allow the use of zero-current turn-off switches. Some of the experimental and simulation results obtained on a 2.5 kW-capacity laboratory prototype 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 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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

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)0.0040.001

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 head0.026
GPT teacher head0.235
Teacher spread0.209 · 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

Citations17
Published2002
Admission routes1
Has abstractyes

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