The Sinumerik Edge Application Analyze MyMachine /Condition, which the company presented last year at the 2019 EMO, uses high frequency CNC data to create the mechanical fingerprint of a machine tool. In the application, users can capture and evaluate various parameters such as stiffness, frictio, and backlash in the individual axes. The measurement results can then be visualised and compared with reference data.

The new complementary Mindsphere application to Analyze MyMachine /Condition now allows cross-machine comparisons and evaluations. Warning and service thresholds can be visualised individually for each asset and the states of several machines can be monitored and visualised over a longer period of time, allowing users to detect deviations over an extended period. Anomalies can also be detected across different machines.

Analyze MyMachine /Condition for Sinumerik Edge and for Mindsphere thus contributes to the early detection of critical deviations and avoidance of production downtime, due to needs-based maintenance measures, thus increasing availability of machine tools and raising their productivity.