Hybrid Semi-Supervised Learning for Rotating Machinery Fault Diagnosis Based on Grouped Pseudo Labeling and Consistency Regularization.
Baoxuan ZhaoChangming ChengShangyu ZhaoZhike PengPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- rotating machinery
- semi supervised learning
- fault diagnosis
- regularization framework
- label propagation
- manifold regularization
- fault detection
- active learning
- unsupervised learning
- semi supervised
- unlabeled data
- labeled data
- multi view learning
- expert systems
- supervised learning
- partially labeled
- neural network
- co training
- operating conditions
- semi supervised classification
- chemical process
- fuzzy logic
- machine learning
- training data
- dimensionality reduction
- computational intelligence
- knowledge base
- real time
- monitoring and fault diagnosis