Generalized Principal Component Analysis-Based Subspace Decomposition of Fault Deviations and Its Application to Fault Reconstruction.
Boyang DuXiangyu KongXiaowei FengPublished in: IEEE Access (2020)
Keyphrases
- principal component analysis
- fault detection
- fault diagnosis
- principal components
- dimensionality reduction
- low dimensional
- dimension reduction
- independent component analysis
- fault model
- feature extraction
- multiple faults
- normal operation
- image reconstruction
- expert systems
- feature space
- lower dimensional
- neural network
- super resolution
- face images
- support vector
- subspace learning
- kernel pca
- subspace methods
- face recognition
- image sequences