Tool wear parameters identification in precision milling using a hybrid model combining cutting forces analytical model and Gaussian process regression method.
Shengqiang ZhaoLin ZhouHao SunFangyu PengRong YanTeng ZhangPublished in: M2VIP (2021)
Keyphrases
- tool wear
- hybrid model
- gaussian process
- analytical model
- regression method
- regression model
- support vector regression
- cutting tool
- hyperparameters
- feed rate
- condition monitoring
- machining processes
- support vector
- artificial neural networks
- bayesian framework
- model selection
- latent variables
- simulation model
- cross validation
- genetic algorithm
- knn
- support vector machine
- maximum likelihood
- k nearest neighbor
- parameter estimation
- sample size
- parameter settings
- linear regression
- computer aided design
- partial least squares
- kernel function
- feature space