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Record W2320366230 · doi:10.1109/icdl.2014.6893162

Impact of local overheating and electrical discharge on the streaming electrification of transformer oil

2014· article· en· W2320366230 on OpenAlexafffund
M. Talhi, S. Flazi, I. Fofana

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsUniversité du Québec à Chicoutimi
FundersTehran University of Medical Sciences and Health ServicesCanada Research Chairs
KeywordsOverheating (electricity)ElectrificationTransformer oilTransformerMineral oilPetroleum engineeringMaterials scienceEnvironmental scienceForensic engineeringVoltageElectrical engineeringEngineeringMetallurgy

Abstract

fetched live from OpenAlex

There is a general agreement that in service conditions the quality of mineral insulating oils gradually deteriorates under the impact of electrical, thermal and chemical stresses. It is also well established that incipient electrical failures such as hot spots and partial discharges are responsible for the deterioration and gassing of oil. This article intends to show how the chemical composition of hydrocarbon blend and the oil born decay products are also contributing factors to the streaming electrification of the oil. The effects of different stresses on the streaming electrification of transformer oil have been investigated using some key testing methods. In this regard, various scenarios were considered. The study was carried on mineral oil samples submitted to electrical discharge according to ASTM D6180 or local overheating and a combination of both stresses. This paper provides experimental evidence that the formation in service conditions of undetected oil-born decay products is a contributing factor to the electrostatic charging tendency of oil.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.198

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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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
Published2014
Admission routes2
Has abstractyes

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