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The research in this dissertation proposes Bayesian-based predictive analytics for modeling and prediction of the manufacturing metrics such as cutting force, tool life and reliability in the technological era of Industry 4.0. Bayesian statistics is a probabilistic method, which can quantify and minimize manufacturing process uncertainties. The Bayesian method combines previous knowledge about the manufacturing models with experimental data to predict the manufacturing metrics.

The res ...

DETAILS

  • Bayesian-Based Predictive Analytics for Manufacturing Performance Metrics in the Era of Industry 4.0
  • Dissertationsschrift
  • Salehi, Mehdi
  • Kartoniert, 220 S.
  • graph. Darst.
  • Sprache: Englisch
  • 21 cm
  • ISBN-13: 978-3-7315-0908-0
  • Titelnr.: 80469766
  • Gewicht: 410 g
  • KIT Scientific Publishing (2019)
  • Herstelleradresse

    KIT Scientific Publishing

    Strasse am Forum 2

    76131 - DE Karlsruhe

    E-Mail: info@ksp.kit.edu

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