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.