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Record W1836879696 · doi:10.1109/elinsl.1990.109707

Prebreakdown phenomena in organic ester transformer fluid

2002· article· en· W1836879696 on OpenAlexaff
D.H. Ren, A. T. Watson

Bibliographic record

VenueIEEE International Symposium on Electrical Insulation · 2002
Typearticle
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTransformer oilSilicone oilVoltageTransformerDielectricMaterials scienceAnalytical Chemistry (journal)High voltageElectrical engineeringComposite materialChemistryThermodynamicsChromatographyOptoelectronicsPhysicsEngineering

Abstract

fetched live from OpenAlex

Prebreakdown current versus voltage characteristics have been recorded for di-iso-octyl phthalate transformer fluid using the ramp voltage application technique. The object was to compare the results with similar data obtained from dimethyl siloxane and Voltesso 35 dielectric fluids. The characteristics of the ester oil were similar to those of the silicone oil and transformer oil, insofar as they obeyed the equation I varies as V/sup s/. The value of s for ester oil is a constant through all the experimental conditions and has the value 1.040+or-0.035. For transformer oil and silicone oil, s is changed when the maximum applied voltage and gap separation are varied. The response current for the ester oil is about two orders of magnitude stronger than that for the other two oils. Plotting the current vs. voltage in log-log scale, there is no threshold point for ester oil. The current on this scale increased very close to linearly with the ramped applied voltage. The direction of progression around the current vs. voltage loop reverses compared to that of silicone oil, which only happens at very high stress in transformer oil.>

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 score0.007

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 communication0.0000.001
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 head0.013
GPT teacher head0.220
Teacher spread0.207 · 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

Citations3
Published2002
Admission routes1
Has abstractyes

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