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Record W2021381509 · doi:10.1109/eeic.2007.4562620

Use of ramp test to expedite return to service of damaged stator winding

2007· article· en· W2021381509 on OpenAlexaff
W. McDermid, R.L. Gamblin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsManitoba Hydro
Fundersnot available
KeywordsStatorClampingAutomotive engineeringGenerator (circuit theory)Electrical engineeringFault (geology)VoltageEngineeringStructural engineeringEnvironmental scienceMaterials scienceReliability engineeringMechanical engineeringGeology

Abstract

fetched live from OpenAlex

The fracture of a clamping finger resulted in major damage to the stator core and winding of a 13.8 kV 120 MVA hydro generator. Immediately following the fault the fire suppression water deluge system operated for a period of time. The polyester bonded mica insulation system of this stator winding is known to be vulnerable to tape separations in the end arm area. High direct-voltage ramp tests were used on four occasions to: ldr Identify stator coils needing replacement ldr Determine adequacy of hot air drying ldr Determine adequacy of drying under short circuit conditions ldr Monitor subsequent improvement in service The objective was to return the unit to service as quickly as possible in the expectation that the condition of the groundwall insulation would continue to improve. To date this approach has been successful.

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)0.002
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.041
GPT teacher head0.286
Teacher spread0.245 · 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

Citations5
Published2007
Admission routes1
Has abstractyes

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