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Record W2168953037 · doi:10.1109/icpst.2002.1053575

Electromagnetic fields near high voltage electrical power lines: a parametric analysis

2003· article· en· W2168953037 on OpenAlexaff
J. Liu, W. Ruan, Simon Fortin, F. Dawalibi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsSafe Engineering Services & Technologies (Canada)
Fundersnot available
KeywordsElectric power transmissionElectromagnetic fieldElectromagnetic shieldingHigh voltageParametric statisticsElectromagnetic compatibilityVoltageElectrical engineeringTransmission lineConducted electromagnetic interferenceAcousticsPhysicsEngineeringElectromagnetic interferenceMathematics

Abstract

fetched live from OpenAlex

The electromagnetic (EM) fields near high voltage electrical power lines are computed and analyzed using an electromagnetic field theory approach. A parametric analysis of the effects of several key variables on the electromagnetic fields is carried out. The variables include: the cross-sectional configuration of the transmission lines (T/L) and distribution lines (D/L), the voltage level of the line, the load current and the effects of unbalance, the type of static wire, the soil resistivity, and the shielding effects of nearby metallic structures such as buildings, fences and pipelines. The computation results of an extensive set of studies are summarized. They provide a means to estimate the electromagnetic fields generated by a nearby high voltage transmission or distribution line before a detailed study is performed.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.004
GPT teacher head0.208
Teacher spread0.204 · 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 teacher head, not a consensus.

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

Citations8
Published2003
Admission routes1
Has abstractyes

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