Cross-domain intelligent fault classification of bearings based on tensor-aligned invariant subspace learning and two-dimensional convolutional neural networks.
Chaofan HuYanxue WangJiawei GuPublished in: Knowl. Based Syst. (2020)
Keyphrases
- cross domain
- subspace learning
- dimensionality reduction
- cross domain learning
- convolutional neural networks
- knowledge transfer
- subspace learning algorithm
- pattern recognition
- feature extraction
- domain adaptation
- feature vectors
- image classification
- low dimensional
- feature space
- support vector
- decision trees
- feature selection
- sparse representation
- principal component analysis
- data representation
- higher order
- data sets
- model selection
- high dimensional data
- machine learning algorithms
- high dimensional
- multiscale
- face recognition