Applications of AI for Predictive Maintenance

About this course

Predict equipment failure before it happens. You will work with time-series data and train XGBoost, LSTM and autoencoder models on GPUs to spot the warning signs of breakdowns and cut unplanned downtime.

What you'll learn

• Use AI-based predictive maintenance to prevent failures and unplanned downtimes
• Identify key challenges around detecting anomalies that can lead to costly breakdowns
• Use time-series data to predict outcomes with XGBoost-based machine learning classification models
• Use an LSTM-based model to predict equipment failure
• Use anomaly detection with time-series autoencoders to predict failures when limited failure-example data is available

Curriculum

Who it's for

Data scientists and engineers in manufacturing, energy, utilities and transport.

Before you start

• Experience with Python
• Basic understanding of data processing and deep learning