Rolling bearing fault diagnosis with variable load and few samples based on multifeature fusion meta-learning.
Xuanhong YeXinmin ZhangBocun HeZheren ZhuWei YuZhihuan SongPublished in: SAFEPROCESS (2023)
Keyphrases
- meta learning
- monitoring and fault diagnosis
- fault diagnosis
- inductive learning
- learning tasks
- model selection
- expert systems
- machine learning algorithms
- neural network
- fuzzy logic
- decision trees
- feature selection
- data fusion
- fault detection
- bp neural network
- power transformers
- condition monitoring
- metamodel
- machine learning
- data mining
- chemical process
- data sets
- artificial intelligence
- training samples
- analog circuits
- software engineering
- multiple faults
- information fusion
- base classifiers
- operating conditions
- training set
- learning algorithm