Commissioning of a high speed rolling-element bearing rig: preliminary results
Bibliographic record
Abstract
Rolling element bearings represent critical components in rotating machinery especially aircraft engines and accessory gearboxes. They are required to operate reliably under high temperature and speed conditions well over 3 million DN (bearing bore in millimeter x shaft speed in rpm) where hybrid technology is being investigated by numerous engine manufacturers. As a result, there has been an enormous amount of work done in the field over the last five decades where different test rigs have been built for that purpose. For instance, Holmes tested ball bearings with a 125 mm bore at speeds up to 24 krpm (3.0 MDN) to determine skidding characteristics. Similarly, in their experimental work, Bamberger et al. studied the effect of speed and load on the performance operation of a 120 mm bore angular contact ball bearing. They found that significant skidding occurred at the highest speed of 25 krpm. This paper describes the operation of a high-speed bearing rig instrumented with state-of-the-art sensors to study performance characteristics of rolling-element bearings operating at extreme conditions. A typical aircraft engine roller bearing was used during the commissioning phase of the rig. Preliminary results of the main bearing characteristics under controlled operating conditions are presented.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".