Tool Wear Status Recognition and Prediction Model of Milling Cutter Based on Deep Learning.
Yang XieChaoyong ZhangQiong LiuPublished in: IEEE Access (2021)
Keyphrases
- prediction model
- tool wear
- deep learning
- cutting tool
- unsupervised learning
- condition monitoring
- regression model
- machining processes
- unsupervised feature learning
- object recognition
- machine learning
- multi sensor
- feature extraction
- weakly supervised
- pattern recognition
- neural network
- supervised learning
- mental models
- visual information
- partial occlusion
- hidden markov models
- active learning
- expert systems
- image processing
- feed rate
- computer vision