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

Küstner C, Mitsch J, Hegwein M, Meintker N, Mönks K, Fröhlich M, Wartzack S (2016)

Publication Language: German

Publication Type: Conference contribution

Publication year: 2016

Publisher: TuTech

City/Town: Hamburg

Pages Range: 169-180

Conference Proceedings Title: Design for X - Beiträge zum 27. DfX-Symposium

Event location: Jesteburg DE

ISBN: 978-3-946094-09-8

URI: https://www.mfk.uni-erlangen.de?file=pubmfk_57fb6e48b4573

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.

Authors with CRIS profile

Christof Küstner Chair of Engineering Design Jürgen Mitsch Chair of Engineering Design Nico Meintker Chair of Engineering Design Sandro Wartzack Chair of Engineering Design

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 (S. 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.

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