Ultrasonic setting of a connector to an object

Abstract

A computer implemented method comprises the steps of: providing a user interface to a computer terminal; providing a welding machine interface () to a welding machine () which is equipped with a set of sensors having a power supply sensor () configured to sense a power supplied by the welding machine () to set a connector to an object in runtime; obtaining a threshold performance metric data signal representing threshold product performance metric predefined via the user interface; obtaining a power supply data signal from the welding machine () via the welding machine interface (), which power supply data signal represents the sensed power supplied by the welding machine () to set the connector to the object; applying a machine learning model to the power represented by the obtained power supply data signal such that the machine learning model calculates a model product performance metric, wherein the machine learning model is specifically pre trained with training power sensed by the power supply sensor () of the set of sensors of the welding machine () and measured product performance metrics; comparing the calculated model product performance metric to the threshold product performance metric represented by the threshold performance metric data signal; and generating a non-consistency data signal when the calculated product performance metric does not comply with the threshold product performance metric.