Qualification test results on multi-turn coils of large hydrogenerators
Bibliographic record
Abstract
Multi-turn coil windings are widely applied in large hydrogenerators up to 150 MVA power output and voltages as high as 18 kV. A well manufactured, properly installed and maintained winding is subject to slow degradation processes resulting from electrical, thermal, mechanical and chemical stresses which are acting at various rates and locations on the entire winding. Several IEEE test standards are in place to determine the effectiveness of the insulation system of multi-turn coils to withstand these stressors and assess the quality of the insulation in the winding. This paper outlines the evaluation process for the groundwall or main insulation for 13.8 kV multi-turn coils for a hydrogenerator. The program covers diagnostic results consisting of dissipation factor, dissipation factor tip-up, partial discharge derived from thermal cycling and voltage endurance tests. The diagnostic results along with the dissection of the tested multi-turn coils are used to determine the degree and rate of degradation of insulation properties due to thermal and electrical aging.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".