Experience with Hydro-Generator Turn-to-Turn Insulation Fault, Investigation, and Recommendation for New Stator Winding Design and Protection
Bibliographic record
Abstract
The insulation failure of multi-turn coils may cause significant damage to hydro generators including both the stator winding and core. A number of stator winding faults have been occurring on hydro generators in the last ten years as result of a turn-to-turn insulation failure. The insulation failure is complex in nature and is attributed to various design and operating factors, thus making the interpretation of the turn insulation condition extremely difficult. The purpose of this paper is to provide typical cases of failure and to share the experience in investigating these turn-to-turn faults, in order to increase knowledge about turn insulation failure. The requirements of insulation design and testing for new stator winding are specified, especially turn insulation. Surge protection to reduce the turn insulation degradation is also presented as the lesson learned from these cases. Some suggestions are also made that may enable utility owners to reduce the risk of multi-turn coil winding failures.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".