Multivariate Heterogeneous Time Series Data for Machine-Learning-Supported Monitoring of a Motor Test Bench

Botache, Diego

Research Data

Multivariate Heterogeneous Time Series Data for Machine-Learning-Supported Monitoring of a Motor Test Bench

Description

Metadata

Authors

Botache, Diego

Dates

Accessible since: 2022-09-28Available since: 2022-09-28

Relations

Supplement to: (DOI) https://doi.org/10.1109/ACSOS52086.2021.00031

DOI

http://dx.doi.org/10.48662/daks-13

Faculty

FB16:Elektrotechnik/Informatik

Department

Fachgebiet Fahrzeugsysteme und Grundlagen der Elektrotechnik (FSG)

Data types

DatasetSoftware

Keywords

Deep Neuronal NetworksMonitoringPredictive MaintenanceFailure DetectionTime Series Classification

DFG-subjects

409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung

DDC-Numbers

004

Funding

Funding Organisations:

Bundesministerium für Bildung und Forschung – BMBF

License

https://creativecommons.org/licenses/by/4.0/

URI

https://daks.uni-kassel.de/handle/123456789/47

Files

Document

Type

Size

base_project.zip

68.9 MB

README.md

4.48 KB

5_classes_dataset.zip

450.95 MB

Botache, Diego. (2022). Multivariate Heterogeneous Time Series Data for Machine-Learning-Supported Monitoring of a Motor Test Bench. DaKS. http://dx.doi.org/10.48662/daks-13

License

Except where otherwised noted, this item's license is described as Creative Commons Attribution 4.0