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Record W4399801055 · doi:10.1109/td47997.2024.10556298

Diagnostic Investigation & Correlation In-Service HV & EHV Current-Transformers Exhibiting High Levels of Hydrogen

2024· article· en· W4399801055 on OpenAlexaffabout
Paolo Diamanti, Muhammad Sohail, J. Demers, Directeur Des Ventes, M. Duval, Pierre Dufour

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsElectrical engineeringCurrent transformerAmpereHydrogenTransformerMaterials scienceCurrent (fluid)PhysicsEngineeringVoltage

Abstract

fetched live from OpenAlex

High levels of hydrogen have been observed in some current transformer (CT) units of the 72.5kV to 330 kV free standing-type using paper-oil insulation and inhibited mineral oil. Several techniques have been used by Trench and Hydro Québec (HQ) to investigate the possible causes of this high hydrogen formation, such as partial discharge tests, dissolved gas analysis, moisture content, dielectric dissipation factor and compatibility tests of the oil with metal parts. The most probable cause, stray gassing (slight overheating around 100°C) of the oil, occurred during the early operation of the units then disappeared, did not damage paper and oil insulation, and is not a concern for the normal operation of CTs. Indeed, all units with initially high hydrogen levels have continued to operate without any sign of electrical or thermal problems, and with hydrogen slowly diffusing out with time. Similar observations of normal operation with high hydrogen levels have been reported at CIGRE in CTs, bushings and small Padmount power transformers. CTs with high hydrogen contents due to this same cause could thus reasonably be kept in service rather than replaced. [3]

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.879

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.026
GPT teacher head0.247
Teacher spread0.221 · 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 designSimulation or modeling
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

Citations0
Published2024
Admission routes2
Has abstractyes

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