Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Climaco, Paolo | - |
dc.contributor.author | Garcke, Jochen | - |
dc.contributor.author | Iza Teran, Victor Rodrigo | - |
dc.contributor.author | Lecei, Ivan | - |
dc.date.accessioned | 2022-10-26T06:27:30Z | - |
dc.date.available | 2022-03-31T03:46:51Z | - |
dc.date.available | 2022-10-26T06:27:30Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | https://fordatis.fraunhofer.de/handle/fordatis/262.3 | - |
dc.identifier.uri | http://dx.doi.org/10.24406/fordatis/191.3 | - |
dc.description.abstract | This dataset consists of simulated acceleration signals representing the vibration response of a generic geared-rotor bearing system made of a rigid gearbox with a spur gear pair mounted on flexible shafts supported by rolling element bearings. The signals include a stochastic component simulating the varying load condition caused by wind turbulence. The data have been generated simulating two distinct gearbox health scenarios and two wind speed conditions. Specifically, signals represent a situation in which a perfectly healthy gearbox is modelled or a scenario in which one of the gears is damaged. The simulated damage consists of a cracked tooth in one of the two gears. Moreover, independently of the gearbox's health condition, we consider the two wind speed scenarios of 5 m/s and 13m/s. Further information on the data can be found in the 'Readme.md' file. | en |
dc.description.sponsorship | The dataset has been created as part of the project MADESI, which has been granted by the BMBF within their announcement “Richtlinie zur Förderung von Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen Lernens.” | en |
dc.language.iso | en | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | en |
dc.subject | wind turbine gearbox | en |
dc.subject.ddc | DDC::500 Naturwissenschaften und Mathematik | en |
dc.title | Wind turbine gearbox simulation data | en |
dc.type | Tabular Data | en |
dc.contributor.funder | Bundesministerium für Bildung und Forschung BMBF (Deutschland) | en |
dc.description.technicalinformation | This dataset has been described and analyzed in the paper ["Multi-resolution Dynamic Mode Decomposition for Damage Detection in Wind Turbine Gearboxes"](https://arxiv.org/abs/2110.04103) accepted for publication at [Data-Centric Engineering](https://www.cambridge.org/core/journals/data-centric-engineering). The workflow on generating the simulated signals can be found at [github.com/Fraunhofer-SCAI/mrDMD-damage-detection](https://github.com/Fraunhofer-SCAI/mrDMD-damage-detection). | en |
fordatis.institute | SCAI Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen | en |
fordatis.rawdata | true | en |
fordatis.sponsorship.projectid | 01IS18043A | en |
fordatis.sponsorship.projectname | Maschine Lernverfahren für Stochastisch-Deterministische Multi-Sensor Signale | en |
fordatis.sponsorship.projectacronym | MADESI | en |
fordatis.date.start | 2020 | - |
fordatis.date.end | 2021 | - |
Appears in Collections: | Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
accln_5Wcr_1ep_10tc.mat | 299,83 kB | Unknown | Download/Open | |
accln_5Wcr_1ep_13tc.mat | 299,93 kB | Unknown | Download/Open | |
accln_5Wcr_1ep_16tc.mat | 299,88 kB | Unknown | Download/Open | |
accln_5Wcr_2ep_10tc.mat | 300,7 kB | Unknown | Download/Open | |
accln_5Wcr_2ep_13tc.mat | 300,64 kB | Unknown | Download/Open | |
accln_5Wcr_2ep_16tc.mat | 300,65 kB | Unknown | Download/Open | |
accln_5Wcr_3ep_10tc.mat | 300,15 kB | Unknown | Download/Open | |
accln_5Wcr_3ep_16tc.mat | 300,16 kB | Unknown | Download/Open | |
accln_5Wh_2ep.mat | 300,61 kB | Unknown | Download/Open | |
accln_5Wh_3ep.mat | 300,15 kB | Unknown | Download/Open | |
accln_13Wcr_1ep_13tc.mat | 300,46 kB | Unknown | Download/Open | |
accln_13Wcr_2ep_10tc.mat | 300,92 kB | Unknown | Download/Open | |
accln_13Wcr_2ep_16tc.mat | 300,93 kB | Unknown | Download/Open | |
accln_13Wcr_3ep_13tc.mat | 300,59 kB | Unknown | Download/Open | |
accln_13Wh_2ep.mat | 300,88 kB | Unknown | Download/Open | |
accln_13Wh_3ep.mat | 300,57 kB | Unknown | Download/Open | |
accelerations_cracked_healthy.zip | 72,13 MB | ZIP | Download/Open | |
Readme.md | 2,82 kB | Unknown | Download/Open |
Version History
Version | Item | Date | Summary |
---|---|---|---|
3 | fordatis/262.3 | 2022-10-24 12:17:26.909 | Reviewer des assoziierten Papers möchte gerne mehr Variation in den Daten haben |
1 | fordatis/262 | 2022-03-31 05:46:51.0 |
This item is licensed under a Creative Commons License