Fault detection based on augmented kernel Mahalanobis distance for nonlinear dynamic processes.

Jun Shang Maoyin Chen Hanwen Zhang

Published 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