Abstract: A system includes a processor in communication with one or more sensors, wherein the processor is programmed to receive data including one or more of real-time current information, real-time voltage information, or real-time vibrational information from a run-time device, wherein the run-time device is an actuator or electric dive, and utilize a trained machine learning model and the data as an input to the trained machine learning model, output a sound prediction associated with estimated sound emitted from the run-time device.

Abstract: The invention relates to a method for producing a gear worm (12) which is located in particular on an armature shaft (14) of an electromotive drive unit (10), wherein firstly a worm gear (20) having screw flanks (22) axially opposite one another on a longitudinal axis (18) is formed by means of a rolling tool, and subsequently a groove structure (24) which is concentric about the longitudinal axis (18) is formed on the screw flanks (22) by means of an additional process step. The invention also relates to a gear worm (12) produced according to the method according to the invention, and to a transmission drive unit (10) containing such a gear worm (12).

Abstract: The invention relates to a method for producing a gear worm (12) which is located in particular on an armature shaft (14) of an electromotive drive unit (10), wherein firstly a worm gear (20) having screw flanks (22) axially opposite one another on a longitudinal axis (18) is formed by means of a rolling tool, and subsequently a groove structure (24) which is concentric about the longitudinal axis (18) is formed on the screw flanks (22) by means of an additional process step. The invention also relates to a gear worm (12) produced according to the method according to the invention, and to a transmission drive unit (10) containing such a gear worm (12).