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Record W2148620134 · doi:10.1109/ceidp.2003.1254811

Prediction of remaining life of the paper insulation by the analysis of new oil-soluble compounds in power transformers

2004· article· en· W2148620134 on OpenAlexaff
M. Lessard, Morgane Masse

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsKraft paperAccelerated agingElectrical insulation paperTransformer oilTransformerMaterials scienceReliability engineeringComputer scienceProcess engineeringComposite materialEngineeringElectrical engineeringVoltage

Abstract

fetched live from OpenAlex

The evaluation of the state of the paper insulation of a power transformer can be assessed by the analysis of specific degradation by-products of paper such as CO, CO/sub 2/ and furanic compounds. However it is still difficult to differentiate an incipient fault from the normal aging of an equipment. There is a need to develop more precise diagnostic tools. An experimental accelerated aging test conducted on kraft paper and oil samples at 150/spl deg/C, allowed us to observe the production of new oil-soluble species. New compounds analogous to furanic derivatives were detected by high performance liquid chromatography. Specific sugars such as rhamnose and mannose were also detected by high performance ionic chromatography. The evolution of some of these species are correlated with the aging of the paper (decrease of the paper polymerization degree). Their presence in samples obtained from the field leads us to believe that selected molecules could play an important role in the prediction of remaining life of power transformers.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.821
Threshold uncertainty score0.217

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 communication0.0000.000
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 head0.012
GPT teacher head0.203
Teacher spread0.191 · 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

Citations5
Published2004
Admission routes1
Has abstractyes

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