An important part of the project will be the development of software implementing the developed methods. This software will be open-source and is hosted at
In order to support the development of machine learning methods in metrology, the project will publish selected data sets at
The ZeMA testbed was developed for condition monitoring, lifetime prognoses and end-of-line tests of electromechanical cylinders (EMCs) with a spindle drive. Long-term high load and speed driving tests are carried out at the testbed until an EMC failure occurs. Based on this, relevant sensors and characteristic signal patterns can be identified for condition monitoring as well as residual lifetime estimation of the EMCs.