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Record W1966408440 · doi:10.1109/tie.2014.2327568

A High-Frequency-Link Single-Phase PWM Rectifier

2014· article· en· W1966408440 on OpenAlexaff
Wenjie Zhu, Keliang Zhou, Ming Cheng, Fei Peng

Bibliographic record

VenueIEEE Transactions on Industrial Electronics · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsMcMaster University
FundersNational Natural Science Foundation of China
KeywordsRectifier (neural networks)CycloconverterGalvanic isolationPWM rectifierPower factorPulse-width modulationPrecision rectifierElectronic engineeringPower (physics)VoltageAC powerCommutationComputer scienceControl theory (sociology)EngineeringElectrical engineeringPhysicsControl (management)Transformer

Abstract

fetched live from OpenAlex

This paper proposes a high-performance “cycloconverter-type” high-frequency-link (HFL) single-phase rectifier with an active voltage clamper, which provides bidirectional two-stage galvanic isolation ac-dc power conversion. Modulation strategy, modeling method, and control scheme are comprehensively developed for the HFL rectifier to guarantee its superior performances: 1) two-stage power conversion and soft-switching switch devices lead to high conversion efficiency; 2) complete elimination of voltage spikes during commutation ensures safe operation of high-frequency switching devices; and 3) it can equally function as a high-performance conventional Pulsewidth Modulation (PWM) rectifier: sinusoidal input current, constant dc output voltage, bidirectional power flows between dc side and ac side, and adjustable power factor. A prototype of the proposed HFL rectifier is built for evaluation. The experiment results demonstrate the efficacy of the soft-switching HFL rectifier and its highly promising control performance. The proposed rectifier offers a high-efficiency, high-power-density, and high-performance galvanic isolation power conversion solution to extensive applications.

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 score0.002
Threshold uncertainty score0.008

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.023
GPT teacher head0.231
Teacher spread0.208 · 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

Citations44
Published2014
Admission routes1
Has abstractyes

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