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Machine Learning Algorithms in Machining: A Guideline for Efficient Algorithm Selection

  • Amina ZiegenbeinEmail author
  • Patrick Stanula
  • Joachim Metternich
  • Eberhard Abele
Conference paper

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.

Keywords

Machine tool Predictive model Quality assurance 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Amina Ziegenbein
    • 1
    Email author
  • Patrick Stanula
    • 1
  • Joachim Metternich
    • 1
  • Eberhard Abele
    • 1
  1. 1.Institute of Production Management, Technology and Machine ToolsDarmstadtGermany

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