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DaKS
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DaKS
FB 16 Elektrotechnik / Informatik
Sammlung_FB 16
Multivariate Heterogeneous Time Series Data for Machine-Learning-Supported Monitoring of a Motor Test Bench
Research Data
Multivariate Heterogeneous Time Series Data for Machine-Learning-Supported Monitoring of a Motor Test Bench
Description
Metadata
Authors
Botache, Diego
Dates
Available 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
Dataset
Software
Keywords
Deep Neuronal Networks
Monitoring
Predictive Maintenance
Failure Detection
Time 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
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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
Citation
BibTex
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