Quality-relevant fault detection of nonlinear processes based on kernel concurrent canonical correlation analysis.
Qinqin ZhuQiang LiuSi-Zhao Joe QinPublished in: ACC (2017)
Keyphrases
- fault detection
- canonical correlation analysis
- nonlinear kernel
- industrial processes
- quality improvement
- fault diagnosis
- canonical correlations
- fault identification
- tennessee eastman
- least squares
- partial least squares
- fuel cell
- equivalence relationship
- high dimensional
- feature space
- kernel cca
- robust fault detection
- neural network
- metric learning
- kernel methods
- fuzzy logic
- general linear model
- power plant
- historical data
- dimension reduction
- expert systems
- support vector
- decision making
- artificial intelligence