Parameterization of a component in an automation system

A method for testing a basic parameterization of a component in an automation system, in which the following method steps are carried out before or during commissioning of the component in the automation system:

• starting a test run of the component in the automation system with the basic parameterization, wherein the component is a technical part or field device that is electronically controllable;
• measuring of a measured value data record during trial operation;
• assessing a machine learning module, which is pre-trained in order to calculate a target parameterization for the respective component for a measured value data set and wherein the basic parameterization is compared with the calculated target parameterization and in the event of deviation a result message for adapting the basic parameterization is provided, wherein a specific machine learning module is pre-trained for each individual component, wherein the machine learning module is trained to automatically recognize error patterns in the basic parameterization, and wherein:
• (a) an excessively abrupt stop in an end position in pneumatic actuators with position measurement, or
• (b) a tendency of controlled signals to oscillate, or
• (c) excessive deviation of a setpoint or actual value in controlled signals, or
• (d) unexpected force curves in press applications, or
• (e) unexpectedly high friction with an incorrect mechanical design is indicative of an incorrectly dimensioned component;
• and
• receiving the provided result message for adaptation of the basic parameterization.