The prediction of future vehicle failures not only enables predictive maintenance but is also essential for OEMs to plan warranty costs. Health indicators provide valuable information, and using statistical features provides insights into the ageing of components.

In this free webinar, IAV’s Dr Wolf Baumann explains how probabilistic models uncover uncertainties and are extremely scalable and easy to use when implemented as a cloud service.

Key topics and takeaways:

• Discover how probabilistic models take into consideration all uncertainties to provide additional insight into component ageing
• Find out why the selection of a suitable approach depends on data availability and the question at hand
• Learn how to carry out a component assessment using workshop data
• Gain insight into the benefits of implementing probabilistic models as a cloud service