Towards An Active Learning Approach To Tool Condition Monitoring With Bayesian Deep Learning.
Giovanna Martínez-ArellanoSvetan M. RatchevPublished in: ECMS (2019)
Keyphrases
- deep learning
- condition monitoring
- tool wear
- unsupervised feature learning
- fault detection
- machine learning
- deep architectures
- unsupervised learning
- fault diagnosis
- acoustic emission
- bayesian networks
- power transformers
- mental models
- co occurrence
- feature selection
- weakly supervised
- maximum likelihood
- higher order
- fuzzy logic
- feature extraction