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Record W2978496256

Harmonic analysis method for converter

2009· article· en· W2978496256 on OpenAlexaff
Xu Wilsun

Bibliographic record

VenueDianli zidonghua shebei · 2009
Typearticle
Languageen
FieldEngineering
TopicHigh-Voltage Power Transmission Systems
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHarmonicsAdmittance parametersHarmonicAdmittanceFrequency domainHarmonic analysisControl theory (sociology)Nonlinear systemVoltagePhysicsMathematicsElectronic engineeringComputer scienceEngineeringMathematical analysisElectrical engineeringAcousticsElectrical impedance
DOInot available

Abstract

fetched live from OpenAlex

A method to analyze the harmonics generation mechanism of converters is presented,which takes into account the interaction between the harmonics generated by converter and the power system. Based on the modulation theory and the Fourier analysis theory,the relations among the AC-side and DC-side variables of converter are explored in frequency-domain. It is found that a harmonic coupled admittance matrix can be used to represent the relations between the AC-side harmonic voltage and current of converter,which is a constant matrix. Its elements are independent of the harmonic voltages at supply side of conver-ter. The model transforms the nonlinear characteristics of converter in time-domain into a linear admittance matrix in frequency-domain,directly and accurately reflecting the coupling degrees among the AC-side harmonic voltages and currents of converter. It has higher accuracy and no iteration is necessary. The time-domain case study verifies its validity and accuracy.

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)0.001
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 score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.007

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 head0.013
GPT teacher head0.268
Teacher spread0.255 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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