Predictive Maintenance

Predictive maintenance lets you estimate the optimum time to do maintenance by predicting time to failure of a machine. This way, you can minimize downtime and maximize equipment lifetime. In this series, you’ll learn how predictive maintenance works and how it is different from other strategies such as reactive and preventive maintenance. The videos will also walk you through a workflow that will help you develop a predictive maintenance algorithm. You’ll learn about condition indicators and how you can extract them from your data to discriminate between healthy and faulty states. Machine learning models are trained using the extracted condition indicators to classify different types of faults. The videos will also help you understand different estimator models, such as survival, similarity, and degradation, that are used to estimate the remaining useful life of a machine.