Comparative Analysis of Permanent Magnet Eddy Current Losses in Conventional and Alternating-Flux-Barrier Spoke-Type Vernier Machine
Bibliographic record
Abstract
The Alternating-Flux-Barrier Permanent Magnet Vernier Machine (AFBPMVM) is a promising topology for direct-drive wind power generation owing to its improved torque density relative to that of the traditional Spoke-Type Permanent Magnet Vernier Machine (STPMVM). Whereas the AFBPMVM's rich harmonic spectrum, and particularly the enhanced amplitude of its high-speed modulated harmonic, has been cited as the underlying reason for its improved torque capability, its modified rotor circuit can potentially amplify the Permanent Magnet Eddy-Current Losses (PM-ECLs). This may lead to excessive heat generation and consequent thermal demagnetization of the Permanent Magnets (PMs) if the necessary mitigation strategies are not implemented. This paper presents a comparative analysis of PM-ECLs in STPMVM and AFBPMVM. Finite Element Analysis (FEA), Semi-Analytical and experimental results are presented to highlight the ‘normal’ and ‘worst-case’ scenarios for PM-ECLs. The paper also discusses manufacturing considerations to mitigate PM-ECLs.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".