https://opara.zih.tu-dresden.de/xmlui/handle/123456789/2011 The objectives of the project are the development of fundamental digital methods for monitoring and increasing the reliability of highly integrated mechatronic systems that can be transferred to other engineering problems. The methods are to be developed within the framework of the project using the electric bicycle as an example, always with a view to the transferability and utilization of the research results to other vehicles with electric drives. These methods are a prerequisite for new business models of system providers that link product, application and service. 2026-04-06T10:06:32Z https://opara.zih.tu-dresden.de/xmlui/handle/123456789/5739 eBike measurements for fatigue monitoring and maneuver identification tasks Heindel, Leonhard; Hantschke, Peter; Kästner, Markus This dataset provides acceleration and strain measurements from a sensor equipped eBike, which were collected for the development of new methods for fatigue damage monitoring and maneuver identification tasks. 2022-01-01T00:00:00Z https://opara.zih.tu-dresden.de/xmlui/handle/123456789/2017 3-component servo-hydraulic test bench measurements for virtual sensing and forward prediction tasks Heindel, Leonhard; Hantschke, Peter; Kästner, Markus This dataset was created to provide measurements of a non-linear dynamic system with multiple input and output signal channels for the developement and testing of virtual sensing and forward prediction algorithms. It also includes predictions of a frequency response function model, which can be used as a benchmark for comparison with novel algorithmic approaches. The dataset contains measurements from a three-component servo-hydraulic fatigue test bench for suspension hydro-mounts. The sensor setup of this test bench consists of 3 inertia compensated force and 3 displacement sensors. Various non-linear influences affect the system behavior. The hydro-mounts are filled with oil to provide highly non-linear dampening, while the pendulum kinematics of the test bench introduce non-linear interactions between the excitations in different spatial directions. The most impactful non-linearity results from the system stiffness. 2021-01-01T00:00:00Z