Meta-learning for few-shot bearing fault diagnosis under complex working conditions.
Chuanjiang LiShaobo LiAnsi ZhangQiang HeZihao LiaoJianjun HuPublished in: Neurocomputing (2021)
Keyphrases
- fault diagnosis
- meta learning
- monitoring and fault diagnosis
- industrial systems
- operating conditions
- fault detection
- neural network
- chemical process
- learning tasks
- expert systems
- fault detection and diagnosis
- decision trees
- fuzzy logic
- inductive learning
- multiple faults
- machine learning algorithms
- data mining
- complex systems
- analog circuits
- real world
- model selection
- condition monitoring
- power transformers
- machine learning
- metamodel
- artificial neural networks
- feature selection
- artificial intelligence
- genetic algorithm
- multi sensor information fusion