Acceleration tests on large salient pole synchronous motors to determine inrush currents and torques methods-interpretation-problems
Bibliographic record
Abstract
It is a very tedious and time consuming process to determine torque and current at locked rotor and at various slips during the acceleration test on a synchronous machine. Induction motors and synchronous machines behave similarly during acceleration except that the synchronous machine acceleration can include a pulsation torque. At locked rotor because of the salient poles, there will be conditions where the synchronous motor will have minimum torque at quadrature axis and maximum torque at direct axis. Since these machines do not have large numbers of rotor bars in the amortisseur winding like the induction motor has in the squirrel cage, their stall times tend to be a little shorter. Due to the shorter stall time and large starting torque, locked rotor torque and current are determined from acceleration tests conducted at reduced voltage rather than by tests at stand-still. The paper presents data showing that saturation effects impact both torque and current. It also shows that the voltage index which has to be applied to the torque and current measured at reduced voltage varies with speed and can be obtained from a series of acceleration tests.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".