Simplified design model for fast analysis of large synchronous generators with magnetic saturation
Bibliographic record
Abstract
This paper presents simplified alternator design tools which could evaluate the performances of a large machine in function of its geometrical dimensions and winding parameters. This method is well adapted for fast comparisons of different alternator structures and a first optimization of the alternator characteristics. It is based on two kinds of analytical models for the estimation of the equivalent electrical circuit parameters. These models are using a small non-linear reluctance network of one pole domain and a solution of the linear Maxwell equations in the air-gap of a simplified structure of entire machine to calculate inductances and no-load flux by taking account winding characteristics. We simulate two classical machine tests (stator short-circuit and no-load operation) for different rotor excitation currents for the identification of a saturated circuit equivalent parameters. We present two examples using the specifications and the characteristics of existing hydraulic alternators. We make some comparisons with FE method and validate the performances of the original machines as found with the analytical saturated model with those defined by the machine specifications.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".