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Record W4400679773 · doi:10.1109/tpel.2024.3428844

Single-Phase Common-Ground Dual-Buck Inverters With No Leakage Current

2024· article· en· W4400679773 on OpenAlexafffund
Frederick Nana Oppong, Ashraf Ali Khan, John E. Quaicoe

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2024
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDual (grammatical number)InductorLeakage (economics)Electronic engineeringElectrical engineeringSingle phaseCurrent (fluid)Materials scienceComputer scienceEngineeringVoltage

Abstract

fetched live from OpenAlex

This article presents two unique common-ground high-reliability dual-buck single-phase inverters suitable for photovoltaic applications. The proposed inverters directly connect the source and load, excluding the inverters from leakage current. The first proposed inverter works only for unity power factor operation. In its operation, the inverter employs only one high-frequency switching device, thus presenting low switching losses and improving overall efficiency. The second proposed inverter works for any power factor. In its operation, the inverter utilizes two high-frequency switching devices, resulting in minimal switching losses. The proposed inverters have no reverse recovery loss and related issues since the body diodes of the power metal–oxide–semiconductor field-effect transistors are disabled. The proposed inverters are devoid of short-circuit issues, resulting in high reliability. The detailed modes and operating principles together with the pulsewidth-modulated strategy for the proposed inverters are described. Experiments were carried out on 0.6-kW laboratory prototypes, operating at a switching frequency of 50 kHz and an output voltage of 110 V<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rms</sub>. The experimental results verified the robustness of the proposed inverters.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.242
Teacher spread0.229 · 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 teacher head, not a consensus.

Study designOther design
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

Citations9
Published2024
Admission routes2
Has abstractyes

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