- AutorIn
- Jakob Hartig Institut für Fluidsystemtechnik, Technische Universität Darmstadt
- Christian SchänzleInstitut für Fluidsystemtechnik, Technische Universität Darmstadt
- Peter F. PelzInstitut für Fluidsystemtechnik, Technische Universität Darmstadt
- Titel
- Validation of a soft sensor network for condition monitoring in hydraulic systems
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-712013
- Konferenz
- 12th International Fluid Power Conference (12. IFK). Dresden, October 12 – 14, 2020
- Quellenangabe
- Volume 2 – Conference - 2
Erscheinungsort: Dresden
Verlag: Technische Universität Dresden
Erscheinungsjahr: 2020
Bandnummer Schriftenreihe: 2
Seiten: 167-173
DOI: 10.25368/2020.7 - DOI
- https://doi.org/10.25368/2020.80
- Abstract (EN)
- With increasing digitization, models are more important than ever. Especially their use as soft sensors during operation offers opportunities in cost saving, easy data acquisition and therefore additional functionality of systems. In soft sensor networks there is redundant data acquisition and consequently the occurrence of inconsistent values from different soft sensors is encouraged. The resolution of these data-induced conflicts allows for the detection of changing components characteristics. Hence soft sensor networks can be used to detect wear in system components. In this paper this approach is validated on a test rig. It is found, that the soft sensor network is capable to determine wear and its extent in eccentric screw pumps and valves via data induced conflicts with relatively simple models.
- Freie Schlagwörter (DE)
- 12. IFK, weicher Sensor, Zustandsüberwachung, Verschleiß, Hydrauliksystem
- Freie Schlagwörter (EN)
- 12th International Fluid Power Conference, soft sensor, condition monitoring, wear, hydraulic system
- 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-qucosa2-712013
- Veröffentlichungsdatum Qucosa
- 25.06.2020
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis