Concept for Predicting Vibrations in Machine Tools Using Machine Learning
- 25 September 2020
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- A neural network approach for chatter prediction in turningProcedia Manufacturing, 2019
- Optimisation of manufacturing process parameters using deep neural networks as surrogate modelsProcedia CIRP, 2018
- Online Learning of Stability Lobe Diagrams in MillingProcedia CIRP, 2018
- BROADBAND EXCITATION OF MACHINE TOOLS BY CUTTING FORCES FOR PERFORMING OPERATIONAL MODAL ANALYSISMM Science Journal, 2016
- Surface roughness prediction for the milling of Ti–6Al–4V ELI alloy with the use of statistical and soft computing techniquesMeasurement, 2016
- Investigation of the Time-invariance and Causality of a Machine Tool for Performing Operational Modal AnalysisProcedia CIRP, 2016
- Virtual process systems for part machining operationsCIRP Annals, 2014
- Estimation of CNC machine–tool dynamic parameters based on random cutting excitation through operational modal analysisInternational Journal of Machine Tools and Manufacture, 2013
- Friction Variances of Linear Machine Tool AxesProcedia CIRP, 2012
- Interaction of manufacturing process and machine toolCIRP Annals, 2009