Increase productivity with machine learning for intelligent online monitoring

, 10am Stuttgart | 2:30pm Mumbai | 4am Detroit
Electric MotorElectric Vehicle BatteryElectric VehiclesFuel Cell VehiclesTesting and Validation

Lukas Pichler, Development Engineer, AVL | LinkedIn

Stephan Lenhart, Product Manager, AVL | LinkedIn

Can’t attend live? Register anyway, and we’ll send you a link to the slides and a video of the webinar when it’s finished.

In today’s automotive industry, it is more important than ever to efficiently assess the unit under test and create valid result data. This fact applies to everything, from R&D testing to production testing. Early detection of problems can prevent costly damage to the unit under test and delays in the project schedule.

In this free, 60-minute webinar, experts from AVL will explain how to use machine learning to intelligently monitor the health of the unit under test and the overall system. The experts will also demonstrate a solution using a real-world use case.

Key topics and takeaways:

  • Applied machine learning in test bed automation
  • Increased test efficiency due to early anomaly detection
  • Use cases for various application areas, including fuel cell, battery, and E-motor

Meet the experts

Lukas Pichler

Development Engineer, AVL

Stephan Lenhart

Product Manager, AVL