Predictive Maintenance with MATLAB and Simulink

Discover how predictive maintenance can help anticipate equipment failures, reduce unplanned downtime, and optimise maintenance costs.

This webinar explores an end-to-end workflow, from preparing equipment data to developing, validating and deploying predictive maintenance algorithms.

What you’ll learn

• Identify condition indicators that reveal equipment health.
• Use AI for fault classification, anomaly detection and remaining useful life estimation.
• Generate failure data with Simulink and digital twins.
• Develop, verify and deploy predictive maintenance algorithms.

About the presenter

Dr Abbas Yaseri is a Senior Application Engineer at CES and has more than 15 years of experience across AI, electronic engineering, computer vision and industrial applications.