An optical technique for the measurement of 2-D texture of roller bearing surfaces
Bibliographic record
Abstract
An optical method was developed for the assessment of surface texture of tapered roller bearings. This technique was based on an analysis of the bi-directional scattering pattern of a surface which was illuminated by a coherent light source. The scattering pattern was captured by a CCD camera and then digitized by a frame grabber board on a PC-AT. The Bi-directional Reflective Distribution Function (BRDF) was obtained to derive the zero and second moments of the distribution function. These moments were then correlated to the RMS roughness and slope of the surface profile which was obtained from a stylus instrument. Good correlations were established for these parameters which indicates there exists a relationship between the BRDF of the surface and its surface profile statistics. This method offers a convenient way for the inspection of 2-D surfaces in the range of 0.2 /spl mu/m to 0.8 /spl mu/m RMS roughness.>
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".