Ulf Schiebener

Background

About Ulf Schiebener

Let us start into a new digital future, a future in which machines become more productive and powerful. Machines produce less material losses due to deviating tolerances, energy can be used more efficiently, and process monitoring no longer has to be performed by people. AI can already do all of this today and with advanced control systems independently. There are numerous application options in the world of Artificial Intelligence to make the entire production chain highly efficient, keyword: Industry 4.0. Applying algorithms and models is the key to success. Parameters and models can be individually addressed for each machine to avoid material waste. This not only saves machine time, but also greatly reduces machine and material costs to a large extent. Self-learning or self-healing intelligent control systems make this possible. Big data is the future of all new manufacturing methods to apply data specifically to product processes. Possible AI uses cases for IoT machines: 1. Anomaly detection 2. Quality control during manufacturing 3. Automatic correction of tolerance deviations in real time 4. Determining the cause of errors using learned machine model library 5. Wear prediction of material / tools 6. Vibration detection