Subspace Method Aided Data-Driven Fault Detection Based on Principal Component Analysis.
Lingling MaXiangshun LiPublished in: J. Control. Sci. Eng. (2017)
Keyphrases
- subspace methods
- fault detection
- principal component analysis
- data driven
- linear discriminant analysis
- fault diagnosis
- industrial processes
- dimensionality reduction
- fault identification
- lower dimensional
- tennessee eastman
- dimension reduction
- independent component analysis
- face recognition
- face databases
- low dimensional
- feature extraction
- face images
- robust fault detection
- feature space
- video sequences
- fuel cell
- neural network
- power plant
- feature selection
- ensemble methods
- fuzzy logic
- subspace learning
- computer vision