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Record W2111395669 · doi:10.1109/elinsl.2000.845555

Space charge development and breakdown in cross-linked polyethylene under DC fields

2002· article· en· W2111395669 on OpenAlexaff
M. Abou Dakka, A. Bulinski, S.S. Bamji

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsSpace chargePolyethyleneMaterials scienceCross-linked polyethyleneVoltageCharge (physics)Composite materialCurrent (fluid)Electrical engineeringElectronic engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

Space charge development in cross-linked polyethylene (XLPE) was investigated using the Thermal Step Method (TSM). The samples were subjected to DC fields of /spl sim/25, 50 and 70 kV/mm and, several times during aging, the TSM, which is a nondestructive technique, was used to measure insulation response current. The distribution of the corresponding space charge was computed using the newly developed inverse matrix technique. The insulation response current increased systematically with the time of voltage application. Under similar aging conditions some specimens were found to develop space charge faster than others. These specimens have consistently failed sooner than those with slower rate of space charge buildup. It is proposed that the initial rate of space charge development in polymeric insulation could provide an indication of its performance under DC field.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.257
Teacher spread0.231 · 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

Citations4
Published2002
Admission routes1
Has abstractyes

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