iameminmammadov / dash-predictive-maintenance

Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.

Date Created 2021-03-01 (4 years ago)
Commits 53 (last one 2 years ago)
Stargazers 45 (0 this week)
Watchers 1 (0 this week)
Forks 23
License unknown
Ranking

RepositoryStats indexes 623,871 repositories, of these iameminmammadov/dash-predictive-maintenance is ranked #513,048 (18th percentile) for total stargazers, and #559,546 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #100,460/126,758.

iameminmammadov/dash-predictive-maintenance is also tagged with popular topics, for these it's ranked: dashboard (#844/965)

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Recent Commit History

1 commits on the default branch (main) since jan '22

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updated: 2025-03-06 @ 06:09am, id: 343324175 / R_kgDOFHa2Dw