System identification of a reduced scale model blade with an Adaptive Pitch Link using whirl tower test data
Bibliographic record
Abstract
In this paper the identification of the dynamic properties of a rotating helicopter blade has been performed using data recorded during whirl tower tests. A new methodology has been developed in order to extend the applicability of the operational modal analysis to systems characterized by harmonic component excitations blended with white noise spectra loading. The proposed approach is able to identify the harmonic components and then to remove their effects on the time responses of the system. The capabilities of the such method to track the changes in the natural frequencies, damping ratios and mode shapes of the rotating helicopter blade will be investigated in order to asses the overall efficiency. Furthermore, the experimental findings will be compared to those numerically achieved using an aeroelastic numerical procedure developed to deal with the dynamics of rotating blades. Finally, the effects of changes of the stiffness of the pitch link, located at the root of the rotating blade, on the modal parameters will be investigated. © 2012 AIAA.
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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) | 0.000 | 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) | 0.001 | 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".