S. Qin, W. Li, H. Yue, “Recursive PCA for Adaptive Process Monitoring”, IFAC 1999, pages 6686-6691, July 1999.
W. Li, H. Yue, S. Valle-Cervantes, S. Qin, “Recursive PCA for adaptive process monitoring”, Journal of Process Control, Volume 10, pages 471-486, 2000.
H. Jin, Y. Lee, G. Lee, C. Han, “Robust Recursive Principal Component Analysis Modeling for Adaptive Monitoring”, Industrial and Engineering Chemistry, Volume 45, Issue 2, pages 696–703, 2006.
L. Xia, J. Chu, Z. Geng, "Process monitoring based on improved recursive PCA methods by adaptive extracting principal components", Transactions of the Institute of Measurement and Control, 2013.
Y. Dani, A. Gunawan, M. Khodra, S. Indratno, “Detecting Outliers using Modified Recursive PCA Algorithm for Dynamic Streaming Data”, Mendel, Volume 29, Issue 2, pages 237 -244, December 2023.
M. Mukherjee, N. Balakrishnan, S. Kumar, M. Deen, "Satterthwaite Approximation of the Distribution of SPE Scores: An R-Simulation-based Improvement of the R-PCA-Based Outlier Detection Method", IEEE Internet of Things Journal, 2024.
Weighted Adaptive Recursive PCA (WARP)
I. Portnoy, K. Melendez,H. Pinzon,M. Sanjuan,"An improved weighted recursive PCA algorithm for adaptive fault detection", Control Engineering Practice, Volume 50, pages 69–83, 2016.