MétaCan
Menu
Back to cohort
Record W2108564758 · doi:10.1109/tdei.2010.5448101

Experimental investigation of the process of Arc propagation over an ice surface

2010· article· en· W2108564758 on OpenAlexafffund
S. Farokhi, M. Farzaneh, I. Fofana

Bibliographic record

VenueIEEE Transactions on Dielectrics and Electrical Insulation · 2010
Typearticle
Languageen
FieldEngineering
TopicIcing and De-icing Technologies
Canadian institutionsUniversité du Québec à Chicoutimi
FundersNatural Sciences and Engineering Research Council of CanadaUniversité du Québec à Chicoutimi
KeywordsArc flashArc (geometry)Electric arcInsulator (electricity)Materials scienceMechanicsSurface (topology)Channel (broadcasting)GeologyGeometryEngineeringMechanical engineeringComposite materialElectrodePhysicsElectrical engineeringMathematics

Abstract

fetched live from OpenAlex

In this paper, some of the characteristics of an arc propagating over an ice-covered insulator surface were investigated. Special attention was paid to the arc root and channel characteristics. All experiments were performed on a simplified physical model to simulate real ice-covered insulators. From the obtained results, based on a set of time-resolved measurements of a surface discharge, some important characteristics, namely arc foot geometry and channel diameter were observed. Possible mechanisms controlling these variations are discussed. An empirical model, accounting for arc propagation pattern on an ice surface, is proposed. The paper contains a substantial amount of new material with a view of closing some major gaps in the present state of knowledge of ice surface flashover.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.238
Teacher spread0.227 · 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 designBench or experimental
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

Citations32
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueIEEE Transactions on Dielectrics and Electrical InsulationSame topicIcing and De-icing TechnologiesFrench-language works237,207