Advanced data science methodologies increase efficiency in development, production and aftersales across numerous automotive industry applications.
Together with leading OEMs, AVL has developed various algorithms to analyse time-series data generated from simulation, testbeds, or vehicles. These algorithms enable system stability monitoring, condition monitoring, anomaly detection and failure prediction in development and the field.
In this free webinar, AVL’s Milan Zivadinovic and Gerhard Schagerl explain how to improve product qualification using an innovative End of Line (EOL) test data analysis approach.
Key topics and takeaways:
- Learn about AVL’s advanced data analytics solutions for automotive time-series data
- Discover how AI algorithms can improve quality and reduce costs in EOL product qualification
- Find out which environments the methodology is suitable for (cold test, hot test, combustion engines and electrified components)