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Record W4286582002 · doi:10.1109/tpwrd.2022.3191550

On the Transient Analysis of Towers: A Revised Theory Based on Sommerfeld-Goubau Wave

2022· article· en· W4286582002 on OpenAlexaff
Erika Stracqualursi, Rodolfo Araneo, J. A. Brandão Faria, Paolo Burghignoli, Amedeo Andreotti, Behzad Kordi

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsTransmission lineElectric power transmissionTowerEngineeringWave propagationOverhead lineGroundGround planeFormalism (music)Electronic engineeringElectrical engineeringStructural engineeringPhysicsOptics

Abstract

fetched live from OpenAlex

Accurate tower models for fast transients are essential for the insulation design of overhead lines, since lightning may produce temporary or even permanent faults. The aim of the work is to further investigate the nature of the electromagnetic modes supported by the tower, and on the applicability of the transmission line approaches, originally inspired by the model proposed by Jordan. The influence of a perfectly conducting ground plane and of losses distributed along the tower will be discussed. A new approach, based on the Sommerfeld-Goubau wave formalism, is proposed to give physical insights on the propagation phenomenon along transmission line towers.

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)0.001
metaresearch head score (Gemma)0.002
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.202
Teacher spread0.192 · 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
Published2022
Admission routes1
Has abstractyes

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