tvhahn / weibull-knowledge-informed-ml

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

Date Created 2021-06-30 (3 years ago)

Commits 178 (last one about a year ago)

Stargazers 140 (0 this week)

Watchers 2 (0 this week)

Forks 41

License mit

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RepositoryStats indexes 595,856 repositories, of these tvhahn/weibull-knowledge-informed-ml is ranked #233,365 (61st percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #42,645/119,431.

tvhahn/weibull-knowledge-informed-ml is also tagged with popular topics, for these it's ranked: deep-learning (#4,300/8512), machine-learning (#4,018/8063), pytorch (#3,010/6025)

All Topics

pytorch weibull deep-learning manufacturing machine-learning pronostia-dataset condition-monitoring ims-bearing-data-set remaining-useful-life bearing-fault-diagnosis prognostics-health-management knowledge-informed-machine-learning

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28 commits on the default branch (master) since jan '22

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updated: 2024-12-18 @ 02:22pm, id: 381767767 / R_kgDOFsFQVw