Abstract
Industry 4.0 is associated with numerous technologies, which offer great potential for optimizing linear winding processes as used in electric motor manufacturing. To further increase flexibility and quality in the production of mass products like coils, data-driven techniques such as machine learning (ML) are increasingly moving into focus. To generate the required data, however, linear winding machines must be equipped with suitable sensors. Accordingly, this paper will first present all known influencing and quality parameters in linear winding based on earlier research work. Based on this, suitable data sources and sensor systems are identified and a concept for applying ML techniques is derived.
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