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Record W2181236100 · doi:10.1109/pesc.2008.4592028

Single phase multi-level PWM Inverter topologies using coupled inductors

2008· article· en· W2181236100 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 institutionsUniversity of Alberta
FundersIsraeli Centers for Research Excellence
KeywordsInductorPulse-width modulationInductanceInverterVoltageElectromagnetic coilElectronic circuitEngineeringElectronic engineeringElectrical engineeringComputer science

Abstract

fetched live from OpenAlex

The number of voltage levels available in PWM voltage source inverters can be increased by using a split-wound coupled inductor within each inverter-leg and using interleaved PWM switching of the upper and lower switches. The magnetizing inductance of the symmetrical split wound inductor filter the high frequency PWM voltage differences between the upper and lower switches. The same inductor presents a 3-level PWM voltage at the inverter output terminals, with the winding leakage inductance being located in series with the low frequency output current. Dead-time PWM signal delays can be reduced as DC-rail short circuits are not possible: the quality and voltage range of the PWM output is improved as a result. Since the inductor windings are technically exposed to high frequency PWM AC voltages with no DC components, device voltage drops help to reduce the build up of winding DC currents. Theoretical analysis and a sample design case is presented to illustrate how to design suitable inductors for the various topologies. Simulation and experimental results are used to illustrate the operation of the proposed inverter structures.

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: Empirical
Teacher disagreement score0.980
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)0.0000.000

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 head0.200
GPT teacher head0.291
Teacher spread0.091 · 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