Predictive Maintenance

Industry Application:
Manufacturing, Energy, Transportation
Focus Areas:
Predicting when equipment or machinery is likely to fail, allowing for timely maintenance.
Techniques Used:
Machine learning models using historical sensor data, anomaly detection, time series analysis.