- Machine damage can be detected up to 45 days earlier
- Machine maintenance can be planned more readily
- Costs and downtimes are reduced
Technologies & products
Microsoft Azure, Predictive Maintenance
Customer & sector
Success through collaboration
Alongside the original project goal of being able to predict potential machine damage up to 45 days in advance based on the available measurement data, it was also important to include customer employees involved in the entire process and to train them in predictive maintenance. The third goal was to create a shared vision of how the predictions could be operationalised. The excellent cooperation between customer employees and Trivadis was thus an important foundation for the success of the project.