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| 037 | _ | _ | |a RWTH-2022-11586 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-82)IDM05168 |a Brumand-Poor, Faras |b 0 |e Corresponding author |u rwth |
| 111 | 2 | _ | |a Global Fluid Power Symposium |c Neapel |d 2022-10-12 - 2022-10-14 |g GFPS |w Germany |
| 245 | _ | _ | |a Implementation of Variational Autoencoder for Dimension Reduction of a Hydraulic System |h online |
| 260 | _ | _ | |c 2022 |
| 295 | 1 | 0 | |a [Global Fluid Power Symposium, GFPS, 2022-10-12 - 2022-10-14, Neapel, Germany] |
| 336 | 7 | _ | |0 33 |2 EndNote |a Conference Paper |
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| 653 | _ | 7 | |a Digitalisierung; Data-based Condition Monitoring; Deep Unsupervised Learning; Variational Autoencoder; Dimension Reduction; Long Short-Term Memory; Neuronale Netze |
| 700 | 1 | _ | |0 P:(DE-82)IDM04695 |a Makansi, Faried |b 1 |u rwth |
| 700 | 1 | _ | |0 P:(DE-82)IDM02480 |a Schmitz, Katharina |b 2 |u rwth |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Jiakun, Liao |b 3 |
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