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 webinar, experts from AVL explain how to use machine learning to intelligently monitor the health of the unit under test and the overall system. The experts 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