Fault detection based on augmented kernel Mahalanobis distance for nonlinear dynamic processes.
Jun ShangMaoyin ChenHanwen ZhangPublished in: Comput. Chem. Eng. (2018)
Keyphrases
- fault detection
- mahalanobis distance
- nonlinear dynamics
- industrial processes
- fault diagnosis
- fault identification
- euclidean distance
- neural network
- covariance matrix
- noise model
- tennessee eastman
- dynamical systems
- fuel cell
- metric learning
- kernel function
- robust fault detection
- distance metric
- genetic algorithm
- power plant
- feature extraction
- kernel methods
- data distribution
- reinforcement learning