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Record W1991302593 · doi:10.1109/ichve.2012.6357100

Switching impulse of long oil gaps of natural ester fluid

2012· article· en· W1991302593 on OpenAlexaff
Kevin Rapp, John Vandermaar, M. Franchek

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsPowertech Labs (Canada)
Fundersnot available
KeywordsBushingMineral oilImpulse (physics)ElectrodeMaterials scienceLiquid dielectricBreakdown voltageVoltageShieldDielectricDielectric strengthTransformer oilHigh voltageSilicone oilComposite materialPetroleumElectric breakdownMechanicsElectrical engineeringOptoelectronicsGeologyEngineeringChemistryPhysicsTransformerMetallurgy

Abstract

fetched live from OpenAlex

Switching impulse breakdown values, negative and positive polarities, were measured for long oil gaps of natural ester fluid and mineral oil. A switching surge wave shape of 250×2500 μs was used for gaps of 50-150 mm between a high voltage bushing shield and a simulated tank wall (an electrode arrangement used to obtain previously published 60 Hz and 1.2×50 μs lightning impulse breakdown values). We compare these results with data obtained from 10-35 mm gaps using an electrode configuration developed by Weidmann Electrical Technology Inc. The results of this testing are consistent with previous results that showed natural ester fluid has equal or better dielectric breakdown characteristics compared to mineral oil for 10 to 150 mm gaps.

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 score0.159
Threshold uncertainty score0.218

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 head0.006
GPT teacher head0.210
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.

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

Citations3
Published2012
Admission routes1
Has abstractyes

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