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Record W2107545046 · doi:10.1109/tpwrd.2002.804013

Flicker study using a novel arc furnace model

2002· article· en· W2107545046 on OpenAlexfundno aff
O. Ozgun, Ali Abur

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2002
Typearticle
Languageen
FieldEngineering
TopicPower Quality and Harmonics
Canadian institutionsnot available
FundersUniversity of TorontoUniversity College DublinUniversity of GlasgowTexas A and M University
KeywordsFlickerElectric arc furnaceHarmonicsArc (geometry)VoltageEngineeringElectric arcElectric power systemPower (physics)ChaoticPower qualityAutomotive engineeringElectronic engineeringControl theory (sociology)Electrical engineeringComputer scienceMechanical engineeringMaterials scienceElectrodeMetallurgy

Abstract

fetched live from OpenAlex

Voltage flicker and harmonics are the types of power-quality problems that are introduced to the power system as a result of arc furnace operation. Utilities are concerned about these effects and try to take precautions to minimize them. Therefore, an accurate model of an arc furnace is needed to test and verify proposed solutions to this end. In this paper, an arc furnace model is developed and implemented in a Simulink environment by using chaotic and deterministic elements. Moreover, the modeling and simulation of an IEC flickermeter are also performed to evaluate the severity of fluctuations in the simulated arc furnace voltage.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.077
GPT teacher head0.252
Teacher spread0.174 · 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
GenreEmpirical

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

Citations95
Published2002
Admission routes1
Has abstractyes

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