Evaluation of PCA methods with improved fault isolation capabilities on a paper machine simulator

Hui Cheng, Mats Nikus, Sirkka-Liisa Jämsä-Jounela
2008 Chemometrics and Intelligent Laboratory Systems  
The work presented in this paper addresses the issues of fault detection and isolation properties of the partial PCA method and the isolation-enhanced PCA method. In order to increase the sensitivity of the residuals with respect to various faults, the structured residuals generated from both partial PCA and isolation-enhanced PCA are optimized. For the residual evaluation, the bootstrap technique is combined with the CUSUM method to achieve fast and robust detection. Three sensor faults and
more » ... ee actuator faults were studied using simulations employing a rigorous, first principles based, paper machine simulator. All the faults were correctly detected and isolated with both studied methods, and the results are compared with the classical T 2 and SPE contribution plot methods.
doi:10.1016/j.chemolab.2008.03.003 fatcat:cpr26skblfbotgnjx47v4hxncu