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Record W2151696947 · doi:10.1109/icdl.1996.565505

Comparative evaluation of parameters of the dielectric breakdown test on transformer oil

2002· article· en· W2151696947 on OpenAlexaff
Clémentine Benoit, R. Olivier

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsBreakdown voltageTransformer oilDielectric withstand testVoltageMaterials scienceTransformerElectrodeHigh voltageTest methodDielectricElectrical engineeringComposite materialElectronic engineeringOptoelectronicsEngineeringChemistryMathematics

Abstract

fetched live from OpenAlex

The standard AC dielectric breakdown test result is generally used as one of the acceptance criteria for insulating oil and a maintenance tool for high-voltage power transformers in service. Using the standard electrode parameters and voltage application procedure, a small-oil-volume breakdown is obtained. Unfortunately however, these test parameters are far from field conditions. Therefore, oil breakdown results were systematically evaluated and compared using ASTM and IEC standard procedures and varying many of the test parameters such as the shape and dimensions of the electrodes, the oil circulation, the voltage application procedure, etc. Both clean and contaminated transformer oils were tested. The results reflect the surface and volume effects, giving lower breakdown voltages when a larger coaxial electrode arrangement replaces the standard shape. A 1-min step-by-step voltage application is also found to give lower breakdown voltages. Finally, the effect of water and solid particle contamination is evaluated and compared for different test methods.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.039
GPT teacher head0.244
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 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

Citations14
Published2002
Admission routes1
Has abstractyes

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