Machine Learning based Vibration AnalysisCopyright: © IGMR
The goal of our Research is to develop new, highly automatable Methods for the Construction of Process and Condition Monitoring Systems, by combining classical methods of Vibration Analysis with Machine Learning approaches. In addition, the automation of vibration analysis created in this way opens up new possibilities for efficiently evaluating large amounts of data and thus for better understanding complex processes.
An example of the application of machine learning based vibration engineering is the SIMUSS project in the context of metal ultrasonic welding.
Vibration Excitation and IsolationCopyright: © IGMR
In the field of classical vibration engineering, we investigate both the specific damping, isolation and excitation of vibrations.
Our goal is to reduce or intentionally excite vibrations in motion devices and components within the scope of research and industrial work. The subject area of vibration isolation ranges from classical approaches such as the analysis and optimization of the eigenbehavior to novel methods with which the stiffness is reduced without influencing the load-bearing capacity.
Oscillations and vibrations play an important role in any type of moving system. Understanding the occurrence of these intentional or unintentional motions is essential to ensure the intended function of the system.
In general, a distinction must be made between the excitation of a targeted vibration and the isolation or damping of unwanted vibrations. If the intention is to introduce a movement or vibration into a body or a system, the excitation can be optimized in a targeted manner. Here, for example, the excitation can be designed to achieve the desired form of vibration at the intended position with as little effort as possible. The methods of vibration engineering are also used to reduce, isolate or avoid vibrations or oscillations. The focus here is on various target parameters. These include increasing accuracy, isolating a vibration from surrounding components, or ensuring fatigue strength, which can be reduced by unwanted vibrations and oscillations.
The methods used in this research field have their origin in classical vibration engineering. For example, the analysis of the eigenbehavior can be used to optimize the excitation with respect to specific goals. Frequently, the determination of natural frequencies and the motion of the corresponding eigenmodes are used to excite or avoid vibrations in a targeted manner. The research and improvement of new isolation systems also belongs to the field of vibration technology. A novel approach is the introduction of negative stiffnesses. This makes it possible to reduce the overall stiffness of a system without reducing the load-bearing capacity at the operating point.