VSFlex (2020-2023)
Virtual Sensing on Flexible systems using distributed parameter models
Analyzing complex mechatronic systems with a hybrid virtual sensing approach
For the design and development of modern machines, such as train bogies, and monitoring solutions, a good insight into the system dynamics is imperative. With designs heading for more and more lightweight solutions, increased flexibility (i.e. decreased stiffness) has become one of the most dominant attributes in the overall system behavior leading to unwanted and high vibrations.
From a numerical modeling point of view, such systems cannot be properly represented by clustered parameter models as the deformation cannot be attributed to a single component only.
VSFlex leverages upon a promising solution technology called ‘virtual sensing’ to allow for such a measurement solution. The approach enriches experimental measurement data with physical models representing the behavior of the sensed component or system.
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