3-component servo-hydraulic test bench measurements for virtual sensing and forward prediction tasks
datacite.FundingReference.funderName | Europäische Union | |
Contributing person | Kästner, Markus | |
Description of the data | The dataset contains force and displacement measurements from a three component servo-hydraulic fatigue test bench for suspension hydro-mounts. The large collection of system responses in the dataset results from different excitations, which all use a sampling frequency of 1 kHz. The dataset can be subdivided into 1 h 53 min of uncorrelated noise signals, 2 h 37 min of fatigue service loads, 20 min of sinusoidal excitations and 20 min of sweep. The only postprocessing that was applied to the measurement data includes a low pass FFT-filtering at 80 Hz. The controllable frequency range of the test setup is completely contained in the remaining signal. The noise signals feature different amplitudes and offsets provide information about the system behavior under varying load levels. The service load drive signals do not represent the real application case of hydro mounts but are adapted from fatigue tests of similar components. | |
Type of the data | Dataset | |
Total size of the dataset | 554952233 | |
Author | Heindel, Leonhard | |
Author | Hantschke, Peter | |
Author | Kästner, Markus | |
Upload date | 2021-12-10T07:25:02Z | |
Publication date | 2021-12-17T23:01:30Z | |
Publication date | 2026-06-05T15:19:12Z | |
Data of data creation | 2021 | |
Publication date | 2021-12-17 | |
Abstract of the dataset | 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. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2557 | |
Public reference to this page | https://doi.org/10.25532/OPARA-151 | |
dc.language | eng | |
Publisher | Technische Universität Dresden | |
Licence | Attribution 4.0 International | |
URI of the licence text | http://creativecommons.org/licenses/by/4.0/ | |
Specification of the discipline(s) | 4 | |
Title of the dataset | 3-component servo-hydraulic test bench measurements for virtual sensing and forward prediction tasks | |
Underlying research object | 3-component servo-hydraulic test bench | |
Software | Python (Version 3.8.3) | |
Software | Numpy (Version 1.19) | |
Project abstract | 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. | |
Project title | ePredict |
Files
Original bundle
- Name:
- Heindel2021_dataset.zip
- Size:
- 529.24 MB
- Format:
- Description:
- zip archive with measuring data
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