Bayesian-Based Predictive Analytics for Manufacturing Performance Metrics in the Era of Industry 4.0
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(Sprache: Englisch)
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...
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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.
Klappentext zu „Bayesian-Based Predictive Analytics for Manufacturing Performance Metrics in the Era of Industry 4.0 “
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.
Bibliographische Angaben
- Autor: Mehdi Salehi
- 2019, 220 Seiten, mit Abbildungen, Masse: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: KIT Scientific Publishing
- ISBN-10: 3731509083
- ISBN-13: 9783731509080
- Erscheinungsdatum: 16.10.2019
Sprache:
Englisch
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