Best-in-Class Stator Winding Insulation System for Large Rotating Machines with Enhanced Dielectric Performance
Bibliographic record
Abstract
This paper provides an overview on stringent requirements for stator windings that are used in petrochemical, power utilities and nuclear plants. For nuclear applications, it is critical that a machine must be designed for a Design Basis Accident (DBA), refers to a specific accident scenario that a plant design must consider and prepare for, such as a Loss of Coolant Accident and built to withstand without loss to the systems, structures, and components necessary to ensure public health and safety. Stator winding insulation system can be quite complex due to the interactions of materials and geometry; therefore, testing is the most appropriate method for qualification. For utilities, Petroleum and Chemical Industry standards such as IEEE, IEC and API are followed to qualify a reliable system suitable for service life as specified in API. The proposed insulation systems (Best-in-Class) after going through stringent qualification program are also implemented for services industry with acceptable thermal, electrical and dielectric performance.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".