Tool Condition Monitoring and Maintenance Based on Deep Reinforcement Learning.
Yong GeGuangyi ZhaoZhihong WangPublished in: ADHIP (1) (2023)
Keyphrases
- condition monitoring
- reinforcement learning
- tool wear
- cutting tool
- fault detection
- fault diagnosis
- acoustic emission
- power transformers
- nuclear power plant
- multi agent
- function approximation
- tool support
- software tools
- optimal control
- action selection
- machine learning
- markov decision processes
- computational intelligence
- fuzzy logic
- dynamic programming
- artificial intelligence