A key focus is on the modeling and simulation of dynamic systems. We use physically based models, numerical simulation methods, and model order reduction techniques to efficiently represent and analyze complex relationships. The models we develop form the basis for Digital Twins, real-time simulations, and model-based observer and control systems.
Building on this, we develop methods for condition monitoring, system analysis, and control. Using mathematical methods, we can measure and predict the condition and stress levels of even hard-to-access components. This enables the early detection of malfunctions, the assessment of plant condition, and the optimization of operating strategies. We have many years of experience, particularly in the field of vibration and torsional monitoring of rotating machinery.
In addition, we support companies with issues related to energy efficiency and energy management. This includes the analysis and optimization of energy-intensive production processes as well as the modeling and control of energy flows in electrical transmission and distribution grids. A particular focus is on the integration of renewable energies, the use of smart storage and consumption concepts, and the development of robust solutions for reliable and cost-effective plant operation.
From mathematical modeling through the development and validation of controllers to integration into existing hardware and software systems, we support the industry throughout the entire development process and develop customized solutions for demanding applications in industry, energy, and manufacturing.
Fraunhofer Institute for Industrial Mathematics ITWM