A novel deep learning approach for intelligent bearing fault diagnosis under extremely small samples.
Peixuan DingYi XuPan QinXi-Ming SunPublished in: Appl. Intell. (2024)
Keyphrases
- fault diagnosis
- deep learning
- small samples
- monitoring and fault diagnosis
- industrial systems
- unsupervised learning
- neural network
- fault detection
- expert systems
- sample size
- machine learning
- model selection
- fuzzy logic
- feature selection
- operating conditions
- rbf neural network
- accurate models
- mental models
- support vector machine
- multi sensor information fusion
- regression trees
- weakly supervised
- chemical process
- decision trees
- face recognition
- knowledge base
- control system
- genetic algorithm
- higher order