MACS-Research-Lab/Physics-Inspired-Approach-to-Data-driven-RUL-prediction
View on GitHub ↗Related repositories →In engineering prognostics, predicting remaining useful life (RUL) is crucial. Traditional data-driven methods lack flexibility and explanability. Our work introduces a flexible, explainable model inspired by physics approach. It provides adjustable prediction conservatism without retraining the model.
active 2023-12-01 → 2023-12-03 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 3 days from 2023-12-01 to 2023-12-03. Pushes: 13 total, peak 9 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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- Pull requests
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| 4belito | 15 | 13 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#14belito2023-12-03 07:43
- Pull request#14belito2023-12-03 07:43
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.