Prediction of tool-wear in turning of medical grade cobalt chromium molybdenum alloy (ASTM F75) using non-parametric Bayesian models.
Damien McParlandSzymon BaronSarah O'RourkeDenis DowlingEamonn AhearneAndrew ParnellPublished in: J. Intell. Manuf. (2019)
Keyphrases
- bayesian models
- tool wear
- feed rate
- flank wear
- failure prediction
- cutting tool
- condition monitoring
- bayesian model
- prior knowledge
- statistical models
- bayesian inference
- multi sensor
- multiresolution
- bayesian methods
- text mining
- bayesian classifier
- gaussian processes
- probability density function
- data fusion
- probabilistic model
- machine learning