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Investigation of temperature effects on the ageing of paper-oil insulation under repetitive transient voltages

2023· article· en· W4384344896 on OpenAlexaff
Ahmet Yiğit Arabul, Fatma Keskin Arabul, Shesha Jayaram

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTransient voltage suppressorMaterials scienceVoltageTransient (computer programming)TransformerPartial dischargeTransformer oilElectrical engineeringTurbineComposite materialDielectricEnvironmental scienceMechanical engineeringOptoelectronicsEngineeringComputer science

Abstract

fetched live from OpenAlex

In this work, the effects of temperature over a range of 20 – 100 °C on paper-oil insulation under repetitive transient voltages have been analyzed. The ageing of the paper-oil insulation is measured based on the dielectric frequency response, partial discharge inception voltage, and intensity of discharges. The Luminol™ TRi oil, considering its oxidation stability and negative index for gassing has been selected as test oil to evaluate its applicability as an alternative liquid insulation for transformers facing continuous high-frequency repetitive transient voltages. The results help in understanding the ageing response of turn-to-turn insulation in wind-turbine step-up transformers subjected to repetitive transient voltages at different operating temperatures.

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 score0.408
Threshold uncertainty score0.247

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)0.0000.000

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 head0.010
GPT teacher head0.201
Teacher spread0.190 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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