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Effects of Climatic Aging on the Performance of EPDM Used in Power Cable Insulation

2024· article· en· W4401509369 on OpenAlexaff
D. Bouguedad, Dahmane Mouri, I. Fofana, A. Hadjadj

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsPower cableMaterials scienceComposite materialPower (physics)Nuclear engineeringEnvironmental scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

This work is intended to contribute to better understanding towards the weathering degradation of the properties of ethylene-propylene-diene-monomer (EPDM), a polymer used as insulation in medium voltage electrical cables. The samples were exposed to natural weathering in the city of Tizi-Ouzou, in northern Algeria, over a period of approximately 5.5 months. The samples were monitored using a variety of electrical and mechanical characterization methods, including measurements of bulk resistivity, dielectric strength, dielectric constant, dielectric loss factor, tensile strength, and elongation at break. Material color change, surface stiffening and increased surface cracking are the major macroscopic effects of weathering degradation. Electrical and mechanical test results show that after this period of weathering, only the resistivity and elongation at break were significantly affected. The other physical properties of the polymer were only slightly altered, suggesting the need for a longer accelerated aging period. Some of the characteristics that are measured are markers of aging that could be used in the future to predict the service life of an insulator.

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)0.000
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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.009
GPT teacher head0.234
Teacher spread0.225 · 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
Published2024
Admission routes1
Has abstractyes

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