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Research Data

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

Description

Metadata

Authors
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:
License
https://creativecommons.org/licenses/by/4.0/
URI
https://daks.uni-kassel.de/handle/123456789/47
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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

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