Interpretable deep learning approach for tool wear monitoring in high-speed milling.
Hao GuoYu ZhangKunpeng ZhuPublished in: Comput. Ind. (2022)
Keyphrases
- tool wear
- deep learning
- high speed
- cutting tool
- condition monitoring
- unsupervised learning
- machining processes
- unsupervised feature learning
- machine learning
- multi sensor
- mental models
- weakly supervised
- image processing
- manufacturing processes
- real time
- learning strategies
- infrared
- higher order
- supervised learning
- k means
- knowledge base
- data mining