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Record W2166616223 · doi:10.1109/pesc.2008.4592382

A novel SEPIC type single-stage single switch electronic ballast with very high power factor and high efficiency

2008· article· en· W2166616223 on OpenAlexaff
John Lam, Praveen Jain, Vineeta Agarwal

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsBallastPower factorInverterPower (physics)Electrical engineeringElectronic engineeringTopology (electrical circuits)Electronic circuitComputer scienceVoltageEngineeringPhysics

Abstract

fetched live from OpenAlex

A novel SEPIC type single-stage single switch electronic ballast with very high power factor is presented in this paper. The proposed lamp power circuit combines the SEPIC converter and a single switch resonant inverter to form a single-stage inverter to power the lamp. The resulting circuit provides a compact and cost-effective circuit configuration for electronic ballast designs. By operating the SEPIC power factor corrector in discontinuous conduction mode, the average line current is in phase with the line voltage and a very high power factor is achieved at the input. In the proposed design, zero-current switching (ZCS) is achieved at the turn-on of the MOSFET to maintain high efficiency for the overall circuit. The proposed topology also allows simple gate driver to be used without the use of any isolation devices. Simulation and experimental results are provided for a design example of a 26 W compact fluorescent lamp to verify the feasibility of the proposed circuit.

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.179
Teacher spread0.169 · 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

Citations13
Published2008
Admission routes1
Has abstractyes

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