Thank you very much for your participation in the webinar “Predictive ohne Daten – geht das? Das geht!”

If you missed the webinar, you can access the recording here: Predictive ohne Daten (in German)


Everyone is talking about predictive maintenance. Actually, it can get a bit much.

The biggest hurdle is usually: How can you design a predictive model without masses of data of failures and malfunctions in the past?

We have shown that this is possible with our partner Trebing+Himstedt in a short webinar on April 8, 2020.

The goal is to create a reliable model based on artificial intelligence (AI) and physics for condition monitoring and predictive behavior.

The goal is to generate actionable insights, i.e. to recognize added value and derive recommendations for action.

We hope that the webinar was as interesting for you as it was a pleasure for us to introduce you to the aspects of condition monitoring of rotating machines!


We would be happy to continue the discussion with you and support you in your digitisation projects!