From Digital Twin to Industrial Controller: Developing and Deploying Fault Detection Algorithms

Develop, deploy, and validate fault detection algorithms using digital twins, synthetic fault data, industrial controllers, and hardware-in-the-loop simulation.

In this two-part webinar series, discover how to use multi-domain digital twins to simulate machine faults, generate synthetic fault data, develop fault detection algorithms, and validate their performance before commissioning. The sessions demonstrate a simulation-based workflow for moving from physical modeling and algorithm development to deployment on industrial controllers and hardware-in-the-loop verification.

What you will learn

• Generate synthetic data using multi-domain digital twins
• Develop and evaluate fault detection algorithms for condition monitoring applications
• Validate solutions in realistic system scenarios
• Verify and deploy algorithms on industrial controllers

Who Should Attend

Automation and controls engineers, data scientists, and technical leads working on fault detection, condition monitoring, predictive maintenance, and industrial AI applications.