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Record W1827702775 · doi:10.1109/elinsl.1998.694860

Direct determination of moisture in solid oil-paper insulation

2002· article· en· W1827702775 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsHydro One (Canada)
Fundersnot available
KeywordsMoistureTransformerWater contentTransformer oilMaterials scienceInfraredPressboardInfrared heaterElectrical equipmentWavelengthRadiationEnvironmental scienceComposite materialProcess engineeringElectrical engineeringOptoelectronicsOpticsEngineeringVoltageGeotechnical engineering

Abstract

fetched live from OpenAlex

The life of oil-paper insulation depends critically on the moisture content in paper. At present no method is available for direct measurement of moisture in paper insulation in transformers. This paper summarizes the results from a project for development of a method for direct measurement of moisture in paper in oil-paper insulated electrical equipment. Several techniques were investigated for their suitability for this application. The infrared absorption was found to be the most promising technique. The effectiveness of the infrared technique was examined on model transformer coils and on a power transformer, using optical fibre bundles for directing infrared radiation. The ratio of intensity of radiation back scattered from paper at a reference wavelength to that at a water absorption wavelength (Br/Bw) was used as a measure of the moisture content. From dry to ambient paper condition, the parameter Br/Bw changed by over 60%, and these readings were reproducible to better than 1%. Thus the infrared technique is sensitive enough to detect changes of the order of 0.1% in moisture content (eg, 1.9% to 2.0%) of paper insulation.

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.

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 score0.652
Threshold uncertainty score0.236

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 head0.009
GPT teacher head0.209
Teacher spread0.200 · 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