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Record W1550381683 · doi:10.1109/ciep.2004.1437533

Multipulse diode rectifiers for high-power multilevel inverter fed drives

2005· article· en· W1550381683 on OpenAlex
Bin Wu, Yunwei Li, Sanmin Wei

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Noise Suppression
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTotal harmonic distortionRectifier (neural networks)Computer scienceInverterHarmonicDiodePower (physics)Electronic engineeringVoltagePower factorHarmonic analysisSet (abstract data type)Line (geometry)Electrical engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

In an effort lo satisfy stringent harmonic requirements set by North American and European standards such as IEEE standard 519-1992, major medium voltage (MV) drive manufacturers around world often use multipulse diode rectifiers in their drives as a front end. The most widely used multipulse rectifier configurations are 12-, 18- and 24-pulse rectifiers, which can be further classified into series and separate types for use in various multilevel inverter fed drives. However, a systematic analysis on these rectifiers seems not reported in the literature. In this paper, a comprehensive analysis on the line current THD and input power factor of multipulse rectifiers is carried out through computer simulation and experiments, and results are presented in a graphical format for ease of use. The paper serves as a good technical reference for practicing engineers and academic researchers as well.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.727

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)0.0010.000

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 head0.009
GPT teacher head0.216
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