Performance Investigation of a Stall-Regulated Wind Turbine Considering Rotor Imbalance Faults
Bibliographic record
Abstract
Stall-regulated wind turbines (WTs) are widely used to generate electricity for different applications due to their low cost and appropriate power control capability. Rotor imbalance faults for these WTs, however, have not been widely discussed in the literature because they are difficult to model as stall is a nonlinear aerodynamic phenomenon and a comprehensive WT model capable of modeling this phenomenon is needed. In this paper, the performance of a fixed-speed stall-regulated WT is evaluated with respect to different rotor imbalance faults such as mass imbalance, aerodynamic imbalance, and the combination of the two. Power and voltage fluctuations and flicker emission due to various rotor imbalance faults are investigated as well. The paper concludes with simulation results that are obtained from a comprehensive WT model and with concluding remarks about the effect of rotor imbalances on stall-regulated WTs.
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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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 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".