Quality-related fault detection using linear and nonlinear principal component regression.

Guang Wang Hao Luo Kaixiang Peng

Published in: J. Frankl. Inst. (2016)

Keyphrases

fault detection
industrial processes
fault diagnosis
principal component regression
fault identification
tennessee eastman
condition monitoring
failure detection
fault detection and diagnosis
fuel cell
robust fault detection
neural network
quality improvement
fault localization
fault detection and isolation