- Titel
- Simulation-based system reliability analysis of electrohydraulic actuator with dual modular redundancy
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-712680
- Konferenz
- 12th International Fluid Power Conference (12. IFK). Dresden, October 12 – 14, 2020
- Quellenangabe
- Volume 3 – Conference - 3
Erscheinungsort: Dresden
Verlag: Technische Universität Dresden
Erscheinungsjahr: 2020
Bandnummer Schriftenreihe: 3
Seiten: 333-342
DOI: 10.25368/2020.8 - DOI
- https://doi.org/10.25368/2020.122
- Abstract (EN)
- This paper describes the failure detection system of an electro-hydraulic actuator with dual modular redundancy based on a hybrid twin TM concept. Hybrid twin TM is a combination of virtual twin that operates in parallel with the actuator and represents its ideal behaviour, and a digital twin that identifies possible failures using the sensor readings residuals. Simulation-based system reliability analysis helps to generate a dataset for training the digital twin using machine learning algorithms. A systematic failure detection approach based on decision trees and the process of analysing the quality of the result is described.
- Freie Schlagwörter (DE)
- 12. IFK, Fehlererkennungssystem, Zuverlässigkeit, digitaler Zwilling, maschinelles Lernen
- Freie Schlagwörter (EN)
- 12th International Fluid Power Conference, failure detection system, reliability, digital twin, machine learning
- Klassifikation (DDC)
- 620
- Klassifikation (RVK)
- ZQ 5460
- Publizierende Institution
- Technische Universität Dresden, Dresden
- Sonstige beteiligte Institution
- Dresdner Verein zur Förderung der Fluidtechnik e. V. Dresden, Dresden
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-712680
- Veröffentlichungsdatum Qucosa
- 26.06.2020
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
