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Convolutional autoencoder based condition monitoring system for unique complex technical systems

Abstract This paper presents the development of a condition monitoring system for a unique, complex technical system represented by a drop tower. The self-developed drop tower, the Einstein-Elevator, is designed as a research platform for highly reproducible zero gravity conditions. As the Einstein-...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Emre Tahtali, Marco Adamscheck, Ludger Overmeyer, Marc Christopher Wurz, Christoph Lotz, Daniel Klaas
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2025-11-01
Schriftenreihe:Scientific Reports
Schlagworte:
Condition monitoring
Technical systems
Drop tower
Neural network
Data augmentation
Microgravity
Online-Zugang:https://doi.org/10.1038/s41598-025-26114-w
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