Gast ::
Implementation of Variational Autoencoder for Dimension Reduction of a Hydraulic System
; ; ;
In
[Global Fluid Power Symposium, GFPS, 2022-10-12 - 2022-10-14, Neapel, Germany]
2022
Einrichtungen
Inhaltliche Beschreibung (Schlagwörter)
Digitalisierung; Data-based Condition Monitoring; Deep Unsupervised Learning; Variational Autoencoder; Dimension Reduction; Long Short-Term Memory; Neuronale Netze (frei)
Dokumenttyp
Contribution to a conference proceedings
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Interne Identnummern
RWTH-2022-11586
Datensatz-ID: 861032
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