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Record W1784899801 · doi:10.1109/elinsl.1990.109772

Experience with accelerated aging tests on stator bars and coils

2002· article· en· W1784899801 on OpenAlexaff
G.C. Stone, B. K. Gupta, J.F. Lyles, H.G. Sedding

Bibliographic record

VenueIEEE International Symposium on Electrical Insulation · 2002
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsHydro One (Canada)
Fundersnot available
KeywordsStatorElectromagnetic coilTemperature cyclingDelamination (geology)VoltageAccelerated agingMaterials scienceInsulation systemTest methodComposite materialElectrical engineeringAutomotive engineeringStructural engineeringMechanical engineeringThermalEngineeringPhysics

Abstract

fetched live from OpenAlex

Three accelerated aging tests for evaluating different aspects of the design and manufacturing of stator winding insulation systems are described: the groundwall voltage endurance test for evaluating the ability of the groundwall insulation to resist aging due to operation at high voltage and temperature; the thermal cycling test for evaluating the ability of the insulation system to resist delamination caused by differential thermal expansion; and the turn insulation voltage endurance test for assessing the ability of a coil's turn insulation to resist aging due to high voltage and temperature. The voltage endurance test for groundwall insulation has recently been standardized and has been shown to be a good indicator of problems associated with insulation system design and manufacture. Experience with the thermal cycling test indicates that the insulation delamination process can be rapidly accelerated. Preliminary results for the turn insulation aging test are given.>

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.037
GPT teacher head0.286
Teacher spread0.249 · 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 source (direct Gemma or distilled Codex), 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

Citations25
Published2002
Admission routes1
Has abstractyes

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