14.04.2023: Refractories are essential in steel production. Many things have to be considered in condition monitoring: Accuracy, robustness against disturbances and adaptability in the harsh operating environment of a steel plant. The new CD lab relies on machine learning and neural networks, among other technologies, to achieve this.
Data-driven condition monitoring of refractory materials enables the reduction of energy consumption through optimal utilization and increases safety and efficiency in steel mills.
Further Information about the CD Lab
Press Release of TU Graz
In the picture: Head of Laboratory Franz Pernkopf and Alexander Fuchs from the Institute for Signal Processing and Speech Communication.