Few-shot fault diagnosis of rolling bearing under variable working conditions based on ensemble meta-learning.
Changchang CheHuawei WangMinglan XiongXiaomei NiPublished in: Digit. Signal Process. (2022)
Keyphrases
- monitoring and fault diagnosis
- meta learning
- fault diagnosis
- base classifiers
- neural network
- operating conditions
- inductive learning
- decision trees
- learning tasks
- expert systems
- model selection
- feature selection
- ensemble methods
- machine learning algorithms
- fault detection
- machine learning
- multi class
- fault detection and diagnosis
- power transformers
- analog circuits
- learning algorithm
- data mining
- condition monitoring
- multiple faults
- multi sensor information fusion
- naive bayes
- feature set
- fuzzy logic
- training set