Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy.
Gyeongho KimSang Min YangDong Min KimSinwon KimJaegyeong ChoiMinjoo KuSunghoon LimHyung Wook ParkPublished in: Appl. Soft Comput. (2023)
Keyphrases
- tool wear
- prediction model
- feed rate
- cutting tool
- machining processes
- flank wear
- regression model
- condition monitoring
- failure prediction
- bp neural network
- multi sensor
- artificial neural networks
- artificial intelligence
- data fusion
- complex systems
- design process
- software engineering
- exponential smoothing
- image analysis
- expert systems