Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions.
Cailu PanZhiwu ShangWanxiang LiFei LiuLutai TangPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- fault diagnosis
- high confidence
- monitoring and fault diagnosis
- operating conditions
- expert systems
- fault detection
- neural network
- class labels
- multiple faults
- fault detection and diagnosis
- electronic equipment
- fault identification
- fuzzy logic
- chemical process
- association rules
- bp neural network
- gas turbine
- condition monitoring
- rotating machinery
- power transformers
- industrial systems
- network structure
- training data
- analog circuits
- data sets
- power plant
- training set
- computational intelligence
- high dimensional
- supervised learning
- electrical power systems
- active learning