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Record W2113102438 · doi:10.1109/pesc.2008.4592250

A novel multi-level converter based on current source power cell

2008· article· en· W2113102438 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePESC record · 2008
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsRockwell Automation (Canada)
Fundersnot available
KeywordsHarmonicsTopology (electrical circuits)Voltage sourceCurrent sourceHarmonicComputer scienceElectronic engineeringFilter (signal processing)Power (physics)Harmonic analysisConvertersVoltageElectrical engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

A novel N-level converter based on current-source power cells that is suitable for medium to high-voltage power applications is proposed. The topology is mainly the dual of the conventional topology based on voltage-source power cells. As such, it inherits all the advantages of the standard topology. But more importantly, the second current harmonic injected back by the normal operation of the single-phase current-source inverters are naturally cancelled out at the DC side of the power cells. This feature is assured by sharing the same magnetic circuit among the inverters connected to different load phases. As a result, the DC link filter required by the operation of the cell needs to be designed just to filter out the switching harmonics. Differently to voltage-source power cells based N-level converters, this ensures a small filter size, an important feature for medium to high power applications. Moreover, standard modulating techniques can be used such as SPWM, space vector, and Selective Harmonic Elimination without any penalties on the aforementioned advantages. Preliminary results confirm the theoretical considerations.

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.936
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.050
GPT teacher head0.227
Teacher spread0.177 · 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