Ziegenbein, Amina ; Stanula, Patrick ; Metternich, Joachim ; Abele, Eberhard
Hrsg.: Schmitt, Robert ; Schuh, Günther (2018)
Machine Learning Algorithms in Machining: A Guideline for Efficient Algorithm Selection.
In: Advances in Production Research, Proceedings of the 8th Congress of the German Academic Association for Production Technology (WGP)
doi: 10.1007/978-3-030-03451-1₂₉
Buchkapitel, Bibliographie
Kurzbeschreibung (Abstract)
The manufacturing industry has difficulties with the question of how advanced analytics, can be integrated into production. This paper describes the algorithm selection step of an overall methodology for the systematic implementation of data mining projects in production. This is intended to provide users with a guideline to what a basic procedure may look like and what steps should be considered. First, this procedure is explained, which is then performed and illustrated on an application of high-frequency machine data.
| Typ des Eintrags: | Buchkapitel |
|---|---|
| Erschienen: | 2018 |
| Herausgeber: | Schmitt, Robert ; Schuh, Günther |
| Autor(en): | Ziegenbein, Amina ; Stanula, Patrick ; Metternich, Joachim ; Abele, Eberhard |
| Art des Eintrags: | Bibliographie |
| Titel: | Machine Learning Algorithms in Machining: A Guideline for Efficient Algorithm Selection |
| Sprache: | Englisch |
| Publikationsjahr: | November 2018 |
| Verlag: | Springer Cham |
| Buchtitel: | Advances in Production Research, Proceedings of the 8th Congress of the German Academic Association for Production Technology (WGP) |
| DOI: | 10.1007/978-3-030-03451-1₂₉ |
| URL / URN: | https://link.springer.com/chapter/10.1007/978-3-030-03451-1_... |
| Kurzbeschreibung (Abstract): | The manufacturing industry has difficulties with the question of how advanced analytics, can be integrated into production. This paper describes the algorithm selection step of an overall methodology for the systematic implementation of data mining projects in production. This is intended to provide users with a guideline to what a basic procedure may look like and what steps should be considered. First, this procedure is explained, which is then performed and illustrated on an application of high-frequency machine data. |
| Freie Schlagworte: | Machine tool, Predictive model, Quality assurance |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > Management industrieller Produktion |
| Hinterlegungsdatum: | 24 Apr 2019 09:33 |
| Letzte Änderung: | 24 Apr 2019 09:33 |
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