Hinweis
Dies ist nicht die aktuellste Version der Ressource. Diese kann hier gefunden werden: https://fordatis.fraunhofer.de/handle/fordatis/151.3
Langanzeige der Metadaten
DC Element | Wert | Sprache |
---|---|---|
dc.contributor.advisor | Mey, Oliver | - |
dc.contributor.advisor | Neudeck, Willi | - |
dc.contributor.advisor | Schneider, André | - |
dc.contributor.advisor | Enge-Rosenblatt, Olaf | - |
dc.contributor.author | Mey, Oliver | - |
dc.contributor.author | Neudeck, Willi | - |
dc.contributor.author | Schneider, André | - |
dc.contributor.author | Enge-Rosenblatt, Olaf | - |
dc.date.accessioned | 2020-03-31T06:16:05Z | - |
dc.date.available | 2020-03-31T06:16:05Z | - |
dc.date.created | 2020-03-25 | - |
dc.date.issued | 2020-03-25 | - |
dc.identifier.uri | https://fordatis.fraunhofer.de/handle/fordatis/151 | - |
dc.identifier.uri | http://dx.doi.org/10.24406/fordatis/65 | - |
dc.description.abstract | This dataset contains vibration data recorded on a rotating drive train. This drive train consists of an electronically commutated DC motor and a shaft driven by it, which passes through a roller bearing. With the help of a 3D-printed holder, unbalances with different weights and different radii were attached to the shaft. Besides the strength of the unbalances, the rotation speed of the motor was also varied. This dataset can be used to develop and test algorithms for the automatic detection of unbalances on drive trains. Datasets for 4 differently sized unbalances and for the unbalance-free case were recorded. The vibration data was recorded at a sampling rate of 4096 values per second. Datasets for development (ID "D[0-4]") as well as for evaluation (ID "E[0-4]") are available for each unbalance strength. The rotation speed was varied between approx. 630 and 2330 RPM in the development datasets and between approx. 1060 and 1900 RPM in the evaluation datasets. For each measurement of the development dataset there are approx. 107min of continuous measurement data available, for each measurement of the evaluation dataset 28min. Overview of the dataset components: ID Radius [mm] Mass [g] 0D/ 0E - - 1D/ 1E 14 3.281 2D/ 2E 18.5 3.281 3D/ 3E 23 3.281 4D/ 4E 23 6.614 | en |
dc.language.iso | en | en |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | vibration analysis | en |
dc.subject | rotating machinery | en |
dc.subject | drive train | en |
dc.subject | unbalance detection | en |
dc.subject | machine learning | en |
dc.subject | deep learning | en |
dc.subject | Hidden Markov Model | en |
dc.title | Vibration measurements on a rotating shaft at different unbalance strengths | en |
dc.type | Tabular Data | en |
dc.description.technicalinformation | The dataset contains one csv file per measurement. All files are packed into one zip-file. The files can, for example, be read using Python and the modules zipfile and pandas. An example code for this follows: import pandas as pd import zipfile with zipfile.ZipFile(filename, 'r') as f: with f.open('0D.csv', 'r') as c: data0D = pd.read_csv(c) with f.open('0E.csv', 'r') as c: data0E = pd.read_csv(c) with f.open('1D.csv', 'r') as c: data1D = pd.read_csv(c) with f.open('1E.csv', 'r') as c: data1E = pd.read_csv(c) with f.open('2D.csv', 'r') as c: data2D = pd.read_csv(c) with f.open('2E.csv', 'r') as c: data2E = pd.read_csv(c) with f.open('3D.csv', 'r') as c: data3D = pd.read_csv(c) with f.open('3E.csv', 'r') as c: data3E = pd.read_csv(c) with f.open('4D.csv', 'r') as c: data4D = pd.read_csv(c) with f.open('4E.csv', 'r') as c: data4E = pd.read_csv(c) | en |
dc.title.translated | Vibrationsmessungen an einer rotierenden Welle bei verschiedenen Unwuchtstärken | de |
fordatis.institute | IIS Fraunhofer-Institut für Integrierte Schaltungen - Institutsteil Entwicklung Adaptiver Systeme EAS | en |
fordatis.rawdata | false | en |
Enthalten in den Sammlungen: | IIS Fraunhofer-Institut für Integrierte Schaltungen - Institutsteil Entwicklung Adaptiver Systeme EAS |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
fraunhofer_eas_dataset_for_unbalance_detection_v1.zip | Tabular Data in csv format packed into one zip-file | 2,61 GB | csv; compressed into one zip archive | Öffnen/Download |
Versionshistorie
Version | Ressource | Datum | Zusammenfassung |
---|---|---|---|
3 | fordatis/151.3 | 2022-11-17 15:39:08.463 | Andere Wissenschaftler haben angefragt, ob sie die Daten eines Zwischenergebnisses ebenfalls herunterladen können. Diese sollen deshalb zum Datensatz hinzugefügt werden. |
2 | fordatis/151.2 | 2020-03-31 08:44:16.279 | |
1 | fordatis/151 | 2020-03-31 08:16:05.0 |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons