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Record W2112952761 · doi:10.1109/ichqp.1998.760168

A simplified and accurate calculation of frequency dependence conductor impedance

2002· article· en· W2112952761 on OpenAlexaffabout
Gurjot Singh Gaba, M. Abou-Dakka

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsNational Research Council CanadaHydro-Québec
Fundersnot available
KeywordsBessel functionConductorSkin effectElectrical conductorTransmission lineElectrical impedanceMathematical analysisElectric power transmissionCharacteristic impedanceLow frequencyRADIUSMathematicsAcousticsPhysicsComputer scienceEngineeringGeometryElectrical engineeringTelecommunications

Abstract

fetched live from OpenAlex

This paper illustrates a simple and direct approach for the calculation of the impedance of transmission line as a function of frequency. The approach considers the analysis of skin effect in some multistrand conductors. Two essential types of conductors, stranded wires and aluminum conductor steel reinforced (ACSR), are treated. Simple approximations are proposed, to substitute the long and complicated operation of Bessel functions analysis. One of the equations can be used for low frequencies and the other for high frequencies. To determine the frequency at which each of these equations can be applied, the geometric mean radius (GMR) of the wire is linked to the frequency by a defined formula The validity of these equations has been tested at Hydro-Quebec Research Institute. The validation and the experimental results are included. The resolution of the current distribution equations in a conductor by Bessel functions is also provided.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.018
GPT teacher head0.235
Teacher spread0.217 · 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 designTheoretical or conceptual
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

Citations9
Published2002
Admission routes2
Has abstractyes

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