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.
RepositoryStats indexes 595,856 repositories, of these iameminmammadov/dash-predictive-maintenance is ranked #510,393 (14th percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #99,260/119,431.
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updated: 2024-12-20 @ 05:38am, id: 343324175 / R_kgDOFHa2Dw