Model based diagnosis of CNC machine axes

At the IPK-Berlin a proceed for the diagnosis of machine axes was developed, which can detect and monitor the state of an axis without the use of sensors. A minimal expense of hardware guarantees particular efficiancy for operator support during setting up the machine and service. This subscription will monitor the potentials of a sensorless state supervision for machines by application of "intelligent" identification and classification methods. As these methods can easily be adapted to different electromechanical components, the system could attract a wide circle of industrial users.