Bibliographic record
Abstract
This work is inserted in the context of active attenuation of rotor vibrations.These vibrations are caused by the rotor's own unbalance and have a frequency equal to the rotor's rotation frequency.The unbalance can be modeled as a rotating disturbance force, and a well-known technique for cancelling the effect of such a disturbance is the so-called active balancing, also known as synchronous unbalance compensation or synchronized regulation.The present dissertation brings two contributions to the theme.The first one is the simplification of the synchronous compensator through considerations of rotor symmetry and bearing isotropy, and the second one is to obtain the exact model of the discrete system resulting from the application of the synchronous compensation methodology.These contributions make use of the model described in complex coordinates.The transformation from real coordinates to complex coordinates is defined as a complexification.Thus, the complexification of the model allows the division in half of the dimension of the system variables (states, inputs and outputs), as well as giving a physical sense to the separation between forward disturbances (case of the rotor unbalance) and backward disturbances.This complexification reduces the time of identification of the influence matrix made in active balancing, and the complexified model obtained through symmetry and isotropy hypotheses allows the completely uncouple of the forward disturbances compensation from the backward disturbances compensation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".