DPCA
W. Ku, R. Storer, C. Georgakis,”Disturbance Detection and Isolation by Dynamic Principal Component Analysis”, Chemometrics and Intelligent Laboratory Systems, Volume 30, No. 1, pages 179-196, 1995.
E. Vanhatalo, M. Kulahci, B. Bergquis,"On the structure of dynamic principal component analysis used in statistical process monitoring", Chemometrics and Intelligent Laboratory Systems, pages 1-11, 2017
DPCA-DR
T. Rato, M. Reis, "Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)", Chemometrics and Intelligent Laboratory Systems, Volume 125, pages 101-108, June 2013.
DiPCA
Y. Donga,S. Qin,"A novel dynamic PCA algorithm for dynamic data modeling and process monitoring", Journal of Process Control, Volume 67, pages 1–11, 2018.
TS-PCA
Z. Lou, J. Tuo, Y. Wang, "Two-step principal component analysis for dynamic processes", IEEE International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017, Taipei, Taiwan, pages 73-77, 2017.
DLPCA
S. Xue, S. Rao, W. Yang, J. Wang, J. Yin, "Dynamic Laplacian Principal Component Analysis on Objective Space", IEEE International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2008, Wuhan, China, pages 596-599, 2008