# tvhahn/weibull-knowledge-informed-ml

<https://repo.masters-masters.com/en/repos/tvhahn/weibull-knowledge-informed-ml>

[Home](https://repo.masters-masters.com/en) › [tvhahn](https://repo.masters-masters.com/en/owners/tvhahn) › [weibull-knowledge-informed-ml](https://repo.masters-masters.com/en/repos/tvhahn/weibull-knowledge-informed-ml)

tvhahn/weibull-knowledge-informed-ml has 180 stars on GitHub. Its RepoMasters card: Prototype tier. Using knowledge-informed machine learning on the PRONOSTIA…

| Field | Value |
| --- | --- |
| Owner | [tvhahn](https://repo.masters-masters.com/en/owners/tvhahn) |
| Stars | 180 |
| Forks | 44 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | condition-monitoring, weibull, machine-learning, knowledge-informed-machine-learning, bearing-fault-diagnosis, remaining-useful-life, ims-bearing-data-set, pronostia-dataset, prognostics-health-management, deep-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [tvhahn/weibull-knowledge-informed-ml](https://github.com/tvhahn/weibull-knowledge-informed-ml) |

## Repository

Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.