IZENA SmartFactoryHub – Machine fingerprint

Tekniker Fingerprint is a fast and automated procedure under controlled conditions for periodic monitoring of the status of machine tools. It consists of a monitoring and management test of machine tool use and condition data that allows knowing the health of critical components and detecting abnormal operating situations early. To collect signals from the controls and sensors, both internal and external, hardware capable of connecting in real time to different CNCs is used. The technological asset is part of Teknker's SmartFactoryHub and is connected to different machines and test benches of the Manufacturing Technologies and Components Laboratories in use. The objective of the analysis of the set of machines / equipment is to better understand the variability of the monitored signals and relate them to the degradation of the monitored components / products. The use of mathematical, statistical and computational models (automatic learning algorithms or ‘machine learning’) allows the generation of knowledge through the ‘data mining’ process in order to estimate / predict anomalous behaviors. These models can be transferred to other machines.