Non-invasive method of car wheel rim examination
Bibliographic record
Abstract
This paper presents the concept of a non-invasive method to determine the technical state of passenger car wheel rims. The method consists of a series of vibration and dimension measurement on a rim mounted in a diagnostic station. The measurements are taken on four positions of the rim of rotation versus constant excitation point angular position. The wheel rim’s natural frequencies distribution versus time and rotation angle are examined as diagnostic tool of rim fit for use classification from materials fatigue point of view. These characteristics are also inspected to determine the condition of joints of rim elements and to identify the cracks or loss of integrity in the wheel rim structure. The wheel rim dimensions as a series of specific diameters are examined for wheel rim radial run-out and for axial run-out. The proposed method was evaluated for a new and worn out rims. Performed experiments show that the natural frequency values of rim, the damping factor of natural rim vibration and rim diameters course grouped in a spider chart allows an effective visual classification of car rim fit for use.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".