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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, 60-minute 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)