MétaCan
Menu
Back to cohort
Record W1855849071 · doi:10.1109/icpadm.1994.414135

Chemical and physical degradation effects on epoxy surfaces exposed to partial discharges

2002· article· en· W1855849071 on OpenAlexaff
C. Hudon, R. Bartnikas, M. R. Wertheimer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsPolytechnique MontréalHydro-Québec
Fundersnot available
KeywordsEpoxyPartial dischargeDegradation (telecommunications)Materials scienceGlow dischargeAnalytical Chemistry (journal)ElectrodeComposite materialConductivityAmplitudePhotomultiplierChemistryPlasmaOpticsVoltageElectrical engineeringOrganic chemistryPhysicsDetector

Abstract

fetched live from OpenAlex

Plane-parallel electrodes coated with epoxy resin have been used to investigate partial discharge (PD)-induced degradation of the insulating material. The mean amplitude of pulse-type discharges has been measured as a function of PD exposure duration, while light emission from the discharge space was simultaneously monitored using a sensitive photomultiplier tube (PMT). This combination of discharge diagnostics has allowed us to observe, for all specimens studied, a transition from an initial regime of large-amplitude (/spl gsim/100 pC) pulses to smaller pulses (/spl sim/1 pC) superimposed upon a continuous glow (pseudoglow and true glow) regime. Some specimens eventually sustained a pure (pulseless) glow discharge. The transition, typically after a few hundred hours, is attributed to PD-induced chemical modification of the epoxy surface, which drastically increases its electrical conductivity. Using various complementary physical and chemical techniques, we have studied the evolution of the specimen surface and near-surface regions as a function of PD exposure duration up to several thousand hours. For example, certain reaction products of PD-induced oxidative degradation have been identified; not surprisingly, the transition to a pseudoglow or glow regime does not interrupt the degradative processes in the specimens' surface and bulk (/spl lsim/300 /spl mu/m) regions.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 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 score0.005
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.018
GPT teacher head0.237
Teacher spread0.219 · 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 teacher head, 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

Citations21
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicHigh voltage insulation and dielectric phenomenaFrench-language works237,207