Modelling and prediction of tool wear using LS-SVM in milling operation.
Chen ZhangHaiyan ZhangPublished in: Int. J. Comput. Integr. Manuf. (2016)
Keyphrases
- tool wear
- ls svm
- least squares support vector machine
- flank wear
- cutting tool
- failure prediction
- prediction model
- condition monitoring
- least squares
- machining processes
- multi sensor
- cross validation
- variable selection
- prediction accuracy
- correlation coefficient
- feed rate
- generalization ability
- infrared
- support vector machine
- high dimensional
- support vector
- machine learning
- back propagation
- artificial intelligence