A Two-Stage Semi-Supervised Learning Framework for Fault Diagnosis of Rotating Machinery.
Xiaoyin NieGang XiePublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- fault diagnosis
- rotating machinery
- semi supervised learning
- fault detection
- semi supervised
- manifold regularization
- unlabeled data
- labeled data
- neural network
- expert systems
- supervised learning
- fuzzy logic
- multi view learning
- active learning
- regularization framework
- analog circuits
- operating conditions
- label propagation
- graph based semi supervised learning
- power plant
- data mining
- monitoring and fault diagnosis
- chemical process
- power transformers
- real time
- semi supervised classification
- learning tasks
- class labels
- unsupervised learning
- probabilistic model
- data analysis
- training data
- knowledge base
- feature selection