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Record W1944064245 · doi:10.1109/ceidp.1993.378881

Effect of temperature and time on the dissipation factor of power cable junctions

2002· article· en· W1944064245 on OpenAlexaff
W. Otowski, R. Courteau, T. K. Bose, L. Lamarre

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsHydro-QuébecUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsDissipationDissipation factorDielectricPower cableMaterials scienceRelaxation (psychology)Power (physics)Junction temperatureAtmospheric temperature rangeTime constantElectrical engineeringPermittivityRange (aeronautics)OptoelectronicsComposite materialPhysicsEngineeringThermodynamics

Abstract

fetched live from OpenAlex

Systematic measurements of dielectric constant and dielectric absorption of field-assembled power cable junctions aged by temperature cycling over a wide range have been performed. Experimental results on dielectric properties for power cable junctions in the frequency range 10/sup -4/ Hz to 1 Hz are reported. Evidence of decreasing dissipation factor with time for short aging time and increasing dissipation factor after a long aging time is presented. Results show that the measurement of the dissipation factor and the relaxation frequency in the low frequency region is useful way to estimate the degradation of the power cable junctions. The chemical and physical changes which can occur because of the aging of the polymer seem to affect the complex dielectric constant at low frequency.>

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)0.002
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.189
Teacher spread0.185 · 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

Citations1
Published2002
Admission routes1
Has abstractyes

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