Survivability-Based Protection for Electric Motor Drive Systems-Part II: Three Phase Permanent Magnet Synchronous Motor Drives
Bibliographic record
Abstract
This paper develops a survivability-based protection for three phase permanent magnet synchronous motor drives against severe dynamic events. The proposed protection is based on defining a survivability index$\Gamma _{\text{PMSM}}$that is expressed in terms of power changes resulting from a dynamic event, which is experienced by the protected motor drive. The index$\Gamma _{\text{PMSM}}$establishes an accurate measure to detect, identify, and respond to dynamic events that a three phase permanent magnet synchronous motor drive may not survive. The validity, effectiveness, and accuracy of the survivability-based protection for three phase permanent magnet synchronous motor drives are assessed through simulation and experimental testing. Assessment tests are carried out using a 10 hp laboratory three phase permanent magnet synchronous motor drive under various dynamic events. Assessment results demonstrate the efficacy and responsiveness of the survivability-based protection to unsurvivable dynamic events, and its ability to prevent damage to different components of a three phase permanent magnet synchronous motor drive.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".