New publication: “Towards an adaptable quality monitoring process for self-piercing riveting”
With his co-authors Vanessa Noller, Dr.-Ing. Ulrich Walther (both Mercedes-Benz AG Sindelfingen) and Prof. Dr.-Ing. Gerson Meschut (University of Paderborn) Thomas Bäck has published an article about the quality monitoring process of self-piercing riveting. The article introduces machine learning methods for predicting and avoiding faulty joints. The results showed a [...]
Beginning of EU-project CoPro
divis participates at EU-project CoPro, starting effective November 2016. The aim of the project is to enhance the efficiency of energy and resource consumption of the process industry. Together with our project partners we will develop and test methods and tools for plant control, process monitoring and optimal dynamic planning [...]
Process monitoring with ClearVu Analytics in the foil industry
divis was invited to a meeting at 3M to introduce the application of modern methods of data mining. At this meeting which was held as a global video conference specialists who are organized within the Technical and Statistical Practitioner Forum came together. One of the main topics was the identification [...]