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Beschreibung
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.
Details
| Verlag | KIT Scientific Publishing |
| Ersterscheinung | 10. Oktober 2019 |
| Maße | 21 cm x 14.8 cm |
| Gewicht | 410 Gramm |
| Format | Softcover |
| ISBN-13 | 9783731509080 |
| Seiten | 220 |
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