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Record W2136569373 · doi:10.1109/tpwrd.2011.2157537

Underground Medium-Voltage Cable Rejuvenation—Part I: Laboratory Tests on Cables

2011· article· en· W2136569373 on OpenAlexaff
Serge Pelissou, Gilles Lessard

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2011
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsSiliconeMaterials scienceElectrical treeingComposite materialConductorPenetration (warfare)Accelerated agingService lifeHigh voltageVoltageElectrical engineeringForensic engineeringPartial dischargeEngineering

Abstract

fetched live from OpenAlex

This paper, the first of three parts, deals with the penetration depth and concentration of silicone fluid in cable insulation and its duration when injected in real-size, service-aged 28-kV extruded cables and subjected to various simulated service conditions in the laboratory. There were four aging conditions, namely, a cycling conductor temperature of 55°C or 90°C, in air or water, and with or without pressurized soak silicone, and always under service voltage. Samples were taken as a function of time and analyzed for silicone and water content in the insulation, and at the end for water treeing. The results indicate that the silicone content in the insulation changes circumferentially and can reach values between 1 and 4% after 96 thermal cycles, before stabilizing more or less up to 255 cycles. Furthermore, it was found that while water reacts with silicone, it contributes to the silicone retention in the insulation. Also, the study revealed that the number and size of water trees were not affected by the laboratory aging treatment and show no increase due to the presence of silicone.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.004

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 head0.035
GPT teacher head0.239
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; both teacher heads agree on what is shown here.

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

Citations10
Published2011
Admission routes1
Has abstractyes

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