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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
Related:
Contribution to a book/Contribution to a conference proceedings
Implementation of a Variational Autoencoder for Dimension Reduction of a Hydraulic System
[2022 Global Fluid Power Society Ph.D. Symposium, GFPS22, Neapel, Italy]
2022 Global Fluid Power Society Ph.D. Symposium, GFPS22, NeapelNeapel, Italy,
[10.13052/rp-9788770047975.037]
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