Partial kernel PCA-based GLRT for fault diagnosis of nonlinear processes.
Radhia FezaiMajdi MansouriKamaleldin AbodayehHazem N. NounouMohamed N. NounouHassani MessaoudPublished in: J. Intell. Fuzzy Syst. (2020)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- neural network
- fault detection
- expert systems
- kernel pca
- power transformers
- multiple faults
- chemical process
- fuzzy logic
- electronic equipment
- fault detection and diagnosis
- analog circuits
- industrial processes
- gas turbine
- rbf neural network
- industrial systems
- principle component analysis
- bp neural network
- principal component analysis
- condition monitoring
- operating conditions
- power plant
- failure diagnosis
- kernel function
- tennessee eastman
- fault detection and isolation
- fault identification
- rotating machinery
- support vector
- fault tree
- electrical power systems
- fuzzy sets
- feature space
- multi sensor information fusion