Development and testing of wavelet packet transform-based detector for ice accretion on wind turbines
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper introduces a novel method for detecting ice accumulation on wind turbines. The proposed detection method is based on utilizing a multi-resolution analysis to extract specific frequency components present in the direct and quadrature components of the electric current flowing out of a wind generator. The basis of the proposed method lies in the fact that ice accumulation leads to a slow increase in the mass of the wind turbine, which demands higher electromagnetic torque to overcome the iced rotor and blades at each wind speed. The Daubechies db6 basis functions are used to construct the desired multi-resolution analysis for analyzing the current signals. The proposed method has been implemented for simulation tests using MAT-LAB/SIMULINK software. Simulation results show that the proposed method can detect ice accumulation, related vibrations and electromagnetic torque pulsations independent from any pre-defined geometry.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it