@book{Salehi2019, abstract = { 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.Umfang: XVI, 176 S.Preis: €47.00 | £43.00 | $83.00}, address = {Karlsruhe}, author = {Salehi, Mehdi}, doi = {10.5445/KSP/1000091806}, isbn = {978-3-7315-0908-0}, keyword = {Industrie 4.0, Fertigungstechnik, Bayesianische Statistik, Werkzeugmaschinen, Industry 4.0, Manufacturing technology, Predictive Analytics, Bayesian Statistics, Machine Tools}, month = {Oct}, pages = {220}, publisher = {KIT Scientific Publishing}, title = {Bayesian-Based Predictive Analytics for Manufacturing Performance Metrics in the Era of Industry 4.0}, year = {2019} }