Bearing Fault Signature Extraction Under Time-Varying Speed Conditions Via Oscillatory Behavior-Based Signal Decomposition (Obsd)
Why this work is in the frame
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Bibliographic record
Abstract
Oscillatory Behavior-based Signal Decomposition (OBSD) is a new technique which decomposes a signal according to oscillatory behavior, instead of frequency bands. It has been used for bearing fault signature extraction under constant speed conditions, where the bearing fault-induced vibration signal can be regarded as a low oscillatory component and the interference can be regarded as a high oscillatory component. However, its effectiveness for bearing fault signature extraction under time-varying speed conditions has not been evaluated. Theoretically, the OBSD is a frequency-independent method and should thus be effective under time-varying speed conditions. In this paper, the performance of the OBSD for bearing fault signature extraction under time-varying speed conditions is examined. The results show that the OBSD can be effectively utilized to extract the bearing fault signature under time-varying speed conditions.
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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 | 0.001 | 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 | 0.001 |
| 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 it