A Semi-Supervised Approach to Bearing Fault Diagnosis under Variable Conditions towards Imbalanced Unlabeled Data.
Xinan ChenZhipeng WangZhe ZhangLimin JiaYong QinPublished in: Sensors (2018)
Keyphrases
- fault diagnosis
- semi supervised
- unlabeled data
- monitoring and fault diagnosis
- labeled data
- semi supervised learning
- operating conditions
- class distribution
- fault detection
- co training
- neural network
- labeled and unlabeled data
- expert systems
- labeled examples
- pairwise
- active learning
- semi supervised classification
- fuzzy logic
- supervised learning
- multi view
- unsupervised learning
- training examples
- training data
- text classification
- labeled training data
- learning algorithm
- semi supervised learning algorithms
- manifold regularization
- label propagation
- semi supervised learning methods
- transductive learning
- small set of labeled
- label information
- supervised and semi supervised
- data sets
- pairwise constraints
- training set
- transfer learning
- data points
- semi supervised clustering
- supervised methods
- multi view learning
- class labels
- prior knowledge
- partially labeled data
- multi class