GitHub / 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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/iameminmammadov%2Fdash-predictive-maintenance
PURL: pkg:github/iameminmammadov/dash-predictive-maintenance
Stars: 28
Forks: 22
Open issues: 0
License: None
Language: Python
Size: 34.6 MB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: almost 2 years ago
Pushed at: about 3 years ago
Last synced at: over 1 year ago
Topics: dashboard, predict-failures, rul, wind-turbines, xgboost