Cutting tool operational reliability prediction based on acoustic emission and logistic regression model.
Hongkun LiYinhu WangPengshi ZhaoXiaowen ZhangPeilin ZhouPublished in: J. Intell. Manuf. (2015)
Keyphrases
- regression model
- cutting tool
- condition monitoring
- acoustic emission
- tool wear
- flank wear
- prediction model
- prediction intervals
- linear regression model
- survival analysis
- software reliability
- multiple linear regression
- model selection
- regression analysis
- generalized linear models
- regression methods
- gaussian process
- fault diagnosis
- target variable
- fault detection
- computer aided design
- explanatory variables
- logistic regression
- multivariate regression
- interval valued data
- regression method
- multi sensor
- artificial intelligence
- computer vision
- real world