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 126 (0 this week)

Watchers 2 (0 this week)

Forks 37

License mit

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RepositoryStats indexes 534,880 repositories, of these tvhahn/weibull-knowledge-informed-ml is ranked #232,840 (56th percentile) for total stargazers, and #448,844 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #41,562/103,597.

tvhahn/weibull-knowledge-informed-ml is also tagged with popular topics, for these it's ranked: deep-learning (#4,279/7826), machine-learning (#3,970/7374), pytorch (#3,010/5590)

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: 2024-06-29 @ 06:02am, id: 381767767 / R_kgDOFsFQVw