predict-failures

There are 3 repositories under predict-failures topic.

  • 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.

    Language:Python411023

  • satyajeetmaharana/harddrivefailureprediction

    In this project, we analyze and compare the performance of various machine learning algorithms (Linear Regression, Decision Tree, AdaBoost, XGBoost, Gradient Boosting and k- Nearest Neighbors) when used to predict hard drive failures using Backblaze data in the year 2018.

    Language:HTML1100

  • yagli18/Predictive-Maintenance-Model

    Language:Jupyter Notebook10