METHOD AND SYSTEM FOR QUALITY CONTROL IN INDUSTRIAL PRODUCTION

摘要

The invention relates to a method for quality control in industrial production for one or more production process (s) for producing at least one workpiece and / or product, comprising: creating (S10) a learning model (100) for at least one production process of the workpiece and / or product; - training and initializing (S20) the learning model (100) with a meta-learning algorithm (200); - calibration (S30) of the learning model (100) with standardized data of the at least one production process for the at least one workpiece and / or Product; - Forwarding (S40) of currently generated data of the at least one production process for at least one currently manufactured workpiece / product to the learning model (100), the data being generated by sensors; - The learning model (100) compares (S50) the currently generated data with the standardized data and determines deviations; - the learning model (100) scales (S60) the deviations between the currently generated th data and the normalized data; and the learning model (S70) notifies the presence of an anomaly in the currently created workpiece / product.