Meta-Learning Based Early Fault Detection for Rolling Bearings via Few-Shot Anomaly Detection.
Wenbin SongDi WuWeiming ShenBenoit BouletPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- meta learning
- fault detection
- condition monitoring
- inductive learning
- learning tasks
- fault diagnosis
- intrusion detection
- machine learning algorithms
- vibration signal
- model selection
- decision trees
- detecting anomalies
- feature selection
- detect anomalies
- data mining
- intrusion detection system
- machine learning
- metamodel
- unsupervised learning
- power plant
- expert systems
- artificial intelligence
- learning algorithm
- data sets
- one class support vector machines
- base classifiers
- data mining techniques
- data analysis
- object recognition
- real world
- neural network
- databases