Winner of AI Competition BW: Predictive Maintenance for WEISSER Precision Turning Machines
January 10, 2021
Innovation Contest: “AI Made in Baden-Württemberg”
We are proud to announce that our proposal was accepted as part of the innovation contest by the Ministry of Economics BW. Together with WEISSER Group and the Hahn-Schickard Gesellschaft, we are developing a predictive maintenance solution for WEISSER precision turning machines.
The proposal “KIOWA” was submitted at the innovation contest “AI – Made in Baden-Württemberg”, which aims to boost research and development of AI solutions for small and medium-sized enterprises.
Federated Learning for Predictive Maintenance
In the project, prenode’s Decentralized Machine Learning software mlx will use distributed data sources to predict maintenance events for WEISSER machines. The different ML models will learn from each other so that failures can be predicted with higher precision. We use federated learning to overcome the issue that failures on individual machines occur infrequently. This enables the development of machine learning models across machines while keeping the data on the edge.
In the future, customers of WEISSER may benefit from this research project because they will not have to expose their raw data to WEISSER to use the predictive maintenance service. Furthermore, the volume of the transmitted data will be reduced and machines do not need to be online all the time.
We are glad to work with the teams from WEISSER and Hahn-Schickard-Gesellschaft!
More information about the project KIOWA can be found on the website Hahn-Schickard Gesellschaft and WEISSER.
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