By using predictive maintenance, predictions can be made about the maintenance of machinery and equipment. This makes it possible, for example, to predict data wear and thus save money on maintenance. By using probability models based on real-time data, failures or downtimes in production can be avoided.
Frank Baumann from duramentum GmbH & Co. KG showed the possibilities of Predictive Maintenance followed by three practical examples of the companies NeuroForge GmbH & Co. KG, d-opt GmbH and Simba n3 GmbH. The event ended with a joint discussion.
Thanks on behalf of NeuroForge for the great event and the constructive discussion!