Machines from Kampf Schneid- und Wickeltechnik GmbH & Co. KG are used worldwide for winding and cutting a wide variety of materials. A tear-off of the flow materials during the production process means an expensive loss of production. We present an approach on how an “AI” can detect an imminent tear-off at an early stage. We present (1) the winding machine, process and infrastructure for data collection (2) the ML pipeline for unsupervised pattern recognition and (3) the business case briefly.