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Record W1949894036 · doi:10.1109/eeic.1995.482515

Environmental qualification of insulation systems for nuclear applications

2002· article· en· W1949894036 on OpenAlexaff
J.H. Dymond, W.W. Hare

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicNon-Destructive Testing Techniques
Canadian institutionsGeneral Electric (Canada)
Fundersnot available
KeywordsLoss-of-coolant accidentReliability engineeringShutdownStatorInsulation systemAcceptance testingAutomotive engineeringPartial dischargeEngineeringComputer scienceCoolantEnvironmental scienceMechanical engineeringNuclear engineeringElectrical engineeringVoltage

Abstract

fetched live from OpenAlex

For a recent contract, the user specified that the primary heat transport pump and the shutdown pump motors be environmentally qualified (EQ) for the applications. This meant that the complete motors, including the insulation, systems would be tested along the requirements set forth in IEEE 323, IEEE 334, and IEEE 344. The physical sizes of the machines prevented the actual units from being tested, and hence, component testing became necessary. To environmentally qualify a stator insulation system, including a loss of coolant accident (LOCA) toward the end of a 30 year insulation life, requires the manufacture and testing of statorettes. This paper discusses: (1) the types of problems which can be encountered in this type of exercise; (2) the testing and test results for both a 4 kV and a 13.2 kV insulation system; and (3) the results from testing to failure of the coils after the completion of the environmental qualification tests. Results of surge, hi-pot, polarization index, and partial discharge tests are presented.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.002

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 head0.023
GPT teacher head0.217
Teacher spread0.194 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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