Zustandsdiagnose von Maschinen im Kontext von Industrie 4.0 unter Einsatz von Data-Mining Methoden

Conference contribution


Publication Details

Author(s): Küstner C, Mitsch J, Hegwein M, Meintker N, Mönks K, Fröhlich M, Wartzack S
Editor(s): Krause Dieter, Paetzold Kristin, Wartzack Sandro
Publisher: TuTech
Publishing place: Hamburg
Publication year: 2016
Conference Proceedings Title: Design for X - Beiträge zum 27. DfX-Symposium
Pages range: 169-180
ISBN: 978-3-946094-09-8
Language: German


Abstract


Today, the machine industry offers a range of After-Sales-Services, including the installation and commissioning of the purchased products, the provision of spare parts, inspections or comprehensive maintenance contracts. Studies prove that After-Sales-Services often generate revenues that are several times higher than the original purchase price, which is why these services significantly contribute to a company's balance sheet. Worldwide operation of machines could lead to long machine downtimes before service technicians reach the operating site. Therefore, companies are interested in machine prognostics and predictive maintenance techniques. To accomplish this, an approach for condition-based maintenance in context of the internet of things and the use of data mining is presented in this contribution.



FAU Authors / FAU Editors

Küstner, Christof
Lehrstuhl für Konstruktionstechnik
Meintker, Nico
Lehrstuhl für Konstruktionstechnik
Mitsch, Jürgen
Lehrstuhl für Konstruktionstechnik
Wartzack, Sandro Prof. Dr.-Ing.
Lehrstuhl für Konstruktionstechnik


How to cite

APA:
Küstner, C., Mitsch, J., Hegwein, M., Meintker, N., Mönks, K., Fröhlich, M., & Wartzack, S. (2016). Zustandsdiagnose von Maschinen im Kontext von Industrie 4.0 unter Einsatz von Data-Mining Methoden. In Krause Dieter, Paetzold Kristin, Wartzack Sandro (Hrg.), Design for X - Beiträge zum 27. DfX-Symposium (pp. 169-180). Jesteburg, DE: Hamburg: TuTech.

MLA:
Küstner, Christof, et al. "Zustandsdiagnose von Maschinen im Kontext von Industrie 4.0 unter Einsatz von Data-Mining Methoden." Tagungsband Design for X Symposium, Jesteburg Hrg. Krause Dieter, Paetzold Kristin, Wartzack Sandro, Hamburg: TuTech, 2016. 169-180.

BibTeX: 

Last updated on 2019-23-06 at 07:09