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Record W1650404162 · doi:10.3233/jae-2009-1008

Particle initiated discharges in gas insulated substations by random movement of particles in electromagnetic fields

2009· article· en· W1650404162 on OpenAlexaff
G. V. Nagesh Kumar, J. Amarnath, B.P. Singh, K.D. Srivastava

Bibliographic record

VenueInternational Journal of Applied Electromagnetics and Mechanics · 2009
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMovement (music)Particle (ecology)MechanicsMaterials sciencePhysicsEnvironmental scienceAcousticsGeology

Abstract

fetched live from OpenAlex

Metallic particle contamination is one of the areas of insulation design that are considered critical. The management and control of particle contamination are crucial considerations as the industry moves forward to higher voltage GIS and long GITL designs using SF _{6} in some components. Free conducting particles may lower the corona onset and breakdown voltage of a GIS/GITL system considerably. Under an applied electric field a conducting particle acquires a charge and lifts off from its resting position on the conductor when the electromagnetic force from the field becomes equal to the gravity force. Metallic particles move randomly in a horizontally mounted GIS/GITL system due to the electrode surface roughness and particle irregularities. Under 50 Hz AC voltage, the particle can cross the gap at a sufficiently high voltage level. Monte Carlo simulation is carried out on a single phase GIS for determining the motion of free conducting particles in the presence of Electromagnetic field. The results have been presented and analyzed.

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 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 score0.127
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.238
Teacher spread0.230 · 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.

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

Citations8
Published2009
Admission routes1
Has abstractyes

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