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Record W2115222791 · doi:10.1002/etep.184

An analytic model to simulate leakage current of a snow‐covered insulator

2007· article· en· W2115222791 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Transactions on Electrical Power · 2007
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsNatural Sciences and Engineering Research Council of CanadaHydro-QuébecUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsSnowInsulator (electricity)VoltageLeakage (economics)Exponential functionMaterials scienceEnvironmental scienceMechanicsElectrical engineeringMeteorologyEngineeringPhysicsMathematicsComposite materialMathematical analysis

Abstract

fetched live from OpenAlex

Abstract In this paper an analytic model allowing simulating the electrical characteristics and the leakage current of a snow‐covered insulator is proposed. For that purpose, leakage current through a snow‐covered insulator was monitored under high alternative voltage at a temperature of −12°C. From the measured voltage–current characteristics, it was found that the voltage across snow and the leakage current flowing through the snow‐covered insulator were almost in the same phase. However, the resistance of snow was found to be non‐linear, as it decreases with an increase in voltage across snow. Based on the experimental results, a mathematical model enabling to simulate the leakage current was elaborated. This model shows that the leakage current through snow can be expressed as an exponential function of the voltage across snow, depending on the density and conductivity of the water melted from the snow. The comparison of results obtained by the analytical model and those by experiment shows a good correlation. Copyright © 2007 John Wiley & Sons, Ltd.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.587
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.020
GPT teacher head0.291
Teacher spread0.271 · 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