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Record W4241608710 · doi:10.18280/ejee.230207

Pulse Width Modulation Switching Schemes for Two-Level Five-Phase Voltage Source Inverter

2021· article· en· W4241608710 on OpenAlexvenueno aff
Shailesh Kumar Gupta, M. Ishrat Khan, Omveer Singh

Bibliographic record

VenueEuropean Journal of Electrical Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsnot available
Fundersnot available
KeywordsPulse-width modulationWaveformTotal harmonic distortionInverterVoltageModulation (music)Voltage sourceHarmonicThree-phaseComputer scienceDistortion (music)Phase (matter)Control theory (sociology)Electronic engineeringMathematicsTopology (electrical circuits)PhysicsEngineeringElectrical engineeringTelecommunicationsAcousticsBandwidth (computing)

Abstract

fetched live from OpenAlex

This paper proposes pulse width modulation schemes for a two-level five-phase voltage source inverter. According to the literature, the generation of a pure sinusoidal waveform requires an (n-1) number of vectors for 'n' number of phases, so in a five-phase system, a minimum of four-vectors is needed to generate a sinusoidal waveform. The author uses only two large vectors in this paper for a five-phase voltage source inverter. Vector diagram, switching table, and switching waveform have presented for two adjacent large space vectors. The performance for each PWM scheme is analyze based on fundamental components and total harmonic distortion. In last, results have verified in the Simulink environment.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.231
Teacher spread0.213 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations6
Published2021
Admission routes1
Has abstractyes

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