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

{"last":"Botache","first":"Diego","affiliation":"BMBF - Bundesministerium für Bildung und Forschung","id":"orcid"}

dc.contributor.author	{"last":"Botache","first":"Diego","affiliation":"BMBF - Bundesministerium für Bildung und Forschung","id":"orcid"}
dc.date.accessioned	2022-09-28T07:18:42Z
dc.date.available	2022-09-28T07:18:42Z
dc.identifier.uri	https://daks.uni-kassel.de/handle/123456789/47
dc.identifier.uri	http://dx.doi.org/10.48662/daks-13
dc.description.sponsorship	{"funderName":"BMBF - Bundesministerium für Bildung und Forschung"}
dc.relation	{"relationType":"IsSupplementTo","relatedIdentifierType":"DOI","id_value":"https://doi.org/10.1109/ACSOS52086.2021.00031"}
dc.rights	Creative Commons Attribution 4.0
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	Deep Neuronal Networks	de_DE
dc.subject	Monitoring	de_DE
dc.subject	Predictive Maintenance	de_DE
dc.subject	Failure Detection	de_DE
dc.subject	Time Series Classification	de_DE
dc.subject.classification	409-05 Interaktive und intelligente Systeme, Bild- und Sprachverarbeitung, Computergraphik und Visualisierung	de_DE
dc.subject.ddc	004
dc.title	Multivariate Heterogeneous Time Series Data for Machine-Learning-Supported Monitoring of a Motor Test Bench	de_DE
dc.type	Dataset	de_DE
dc.type	Software	de_DE
local.ka.faculty	FB16:Elektrotechnik/Informatik	de_DE
local.ka.department	Fachgebiet Fahrzeugsysteme und Grundlagen der Elektrotechnik (FSG)	de_DE