Show simple item record

Metadata

Other contributing persons, institutions or organisationseu - Funder
Other contributing persons, institutions or organisationsKästner, Markus - ProjectLeader
Person(s) who is (are) responsible for the content of the research dataHeindel, Leonhard - TU Dresden (ORCID: https://orcid.org/0000-0002-7431-8973)
Person(s) who is (are) responsible for the content of the research dataHantschke, Peter - TU Dresden
Person(s) who is (are) responsible for the content of the research dataKästner, Markus - TU Dresden
Description of further data processingThe 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. 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 data acquisitionExperiment: 3-component servo-hydraulic test bench measurements
Research objectsPhysicalObject: 3-component servo-hydraulic test bench
AbstractThis 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.
Languageeng
Year or period of data production2021
Publication year2021
PublisherTechnische Universität Dresden
References on related materialsIsPartOf: 123456789/2012 (Handle)
Content of the research dataDataset: The dataset contains force and displacement measurements from a three component servo-hydraulic fatigue test bench for suspension hydro-mounts.
Holder of usage rightsTechnische Universität Dresden
Usage rights of the dataCC-BY-4.0
SoftwareResource Processing: Python 3.8.3
SoftwareResource Processing: Numpy 1.19
Discipline(s)Engineeringde
Title of the dataset3-component servo-hydraulic test bench measurements for virtual sensing and forward prediction tasks


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

  • 3-component servo-hydraulic test bench measurements for virtual sensing and forward prediction tasks [1]Open Access Icon
    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.

Show simple item record