Inner ring defect frequency deviation of ball bearings induced by slipping effect under starved lubrication
Bibliographic record
Abstract
The vibration response of locally defective ball bearings is closely related to their lubrication conditions. In this paper, the interaction within the system under starvation conditions is considered, and a dynamic model of lubricant-deficient inner ring defective deep groove ball bearing is established, and the accuracy of the model is verified by experiments. The results show that the slipping behavior of the bearing leads to a deviation between the cage speed and the theoretical value, which modulates the inner ring failure frequency. And the increase in the lack of lubricant significantly increases the friction force, which leads to the increase in the cage rotational speed, and ultimately leads to the decrease in the inner ring failure frequency. At the same time, the increase in rotational speed makes the slipping phenomenon more severe, leading to an increase in the deviation rate of the inner ring failure frequency at the same level of starvation. The results of the study are useful for fault diagnosis and condition monitoring of related equipment.
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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 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".