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Record W3021152520 · doi:10.15676/ijeei.2020.12.1.5

Thermal Performance of Nomex-910 and TUK Insulating Papers in Soyabased Natural Ester Oil

2020· article· en· W3021152520 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

VenueInternational Journal on Electrical Engineering and Informatics · 2020
Typearticle
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsMaterials scienceComposite materialNatural (archaeology)ThermalPolymer scienceGeologyPhysicsThermodynamics

Abstract

fetched live from OpenAlex

In this paper, evaluation of Nomex-910 and thermally upgraded Kraft (TUK) paper has been investigated in soya-based natural ester oil by performing accelerated thermal ageing. All the test samples have been prepared in standard oil/paper ratio in accordance with the IEEE Std. C57.154.2012 and are thermally stressed at 120 0 C, 150 0 C and 180 0 C as per modified ASTM D1934. Diagnostic measurements those including dielectric strength and tensile strength for insulating papers; UV/Vis spectroscopy, Dissipation factor, and Resistivity of oil have been reported as per ASTM standard test methods. The degree of concentration of conductive contaminants in Nomex system is slightly higher but are comparable. This is attributable to the high absorbance of Natural ester fluid. It is found, that dielectric strength and mechanical strength of Nomex paper is superior to that of the TUK paper. The deterioration rate of paper and the oil/paper insulation system has been verified with the natural ester-nomex insulation system and is found to be a possible alternative.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.399

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 head0.004
GPT teacher head0.180
Teacher spread0.176 · 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