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Record W2071847903 · doi:10.1109/tpwrd.2011.2167988

Underground Medium-Voltage Cable Rejuvenation—Part III: Influence of Operating and Emergency Conditions

2011· article· en· W2071847903 on OpenAlexaff
Serge Pelissou, C. Dang, Serge St-Antoine

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2011
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsElectrical conductorSiliconeElectrical engineeringConductorMaterials scienceHigh voltageHigh-voltage cableComposite materialVoltageEngineering

Abstract

fetched live from OpenAlex

The present study, the last of three parts, deals with the testing of three solutions for the blocking of cable-ends of silicone injected cables on an underground experimental line at up to maximum operating conditions. Another objective is to verify in the laboratory the impact of emergency conditions on silicone-injected cables. The experimental line is composed of 16 triplexed XLPE cable sections, rated 28-kV, having 750-kcm aluminum conductors; the line comprises also 42 splices. Only two phases of each cable section were silicone-injected by a service provider. It was found that the solution to dam cable-ends after silicone injection performs successfully and, also, that the silicone diffuses rapidly in the cable's extruded layers. It was further revealed that, with freshly injected cables problems arise due to high conductor temperature above 100°C, but it becomes harmless a few months after injection.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.022
GPT teacher head0.238
Teacher spread0.217 · 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 designObservational
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
Published2011
Admission routes1
Has abstractyes

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