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Record W2040081459 · doi:10.1109/elinsl.2012.6251510

Inclined plane initial tracking voltage for AC, +DC and -DC

2012· article· en· W2040081459 on OpenAlexaff
Refat Atef Ghunem, Shesha Jayaram, E.A. Cherney

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsVoltageElectrical engineeringPlane (geometry)Control theory (sociology)PhysicsComputer scienceMaterials scienceEngineeringMathematicsGeometryArtificial intelligenceControl (management)

Abstract

fetched live from OpenAlex

The tracking voltage in the inclined plane test with AC is compared to the tracking voltage with DC, using the initial-tracking-voltage test method as per ASTM D2303 and a proposed coefficient of variation parameter. The severity of DC, as opposed to AC voltage, on RTV silicone rubber materials is confirmed using both strategies, where +DC is found to be the most severe voltage. The leakage current waveforms are found to consist of two components corresponding to wetting of the surface and to dry-band arcing. The mean value of the leakage current is a reflection of the wetting of the surface; whereas, the leakage current variation is a reflection of the dry-band arcing. Accordingly, a coefficient of variation parameter is proposed as an indicator of the relative severity of the dry band-arcing. Employing this coefficient of variation parameter, the ratios of the equivalent +DC and -DC to AC initial-tracking voltage are attained for 30 wt% silica filled two-part RTV silicone rubber. The results obtained using the coefficient of variation parameter have been verified experimentally using the initial-tracking-voltage in ASTM D2303.

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)0.003
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.039
GPT teacher head0.304
Teacher spread0.265 · 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

Citations7
Published2012
Admission routes1
Has abstractyes

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