Monitoring the Effect of Vibrations in Rotating Shafts and Controlling Using Active Magnetic Bearings (AMBS)
Bibliographic record
Abstract
Vibrations in rotating shafts have been studied because of their great importance in engineering applications and ways to reduce these vibrations using modern techniques such as magnetic bearings and traditional bearings.A representative model of magnetic bearings was built using COMSOL program, and the effect of adding these bearings on amplitude, vibration reduction, and frequency behavior was calculated. When active magnetic bearings were added to the rotating systems, the level of vibrations was greatly reduced to about 60%, giving them a more stable and firm character. The changes that occur to the vibrations in the rotating shafts when changing the coil current and the distance of air gap in magnetic bearings, as well as the effect of a change in the amplitude of forces entering magnetic bearings on the value of the natural frequencies in magnetic bearings, were also monitored.Using SigView software, the Fast Fourier Transform (FFT) was employed to evaluate system vibrations and detect the frequency domain of the system supported by active magnetic bearings.
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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".