IEEE - Institute of Electrical and Electronics Engineers, Inc. - Local and Global Randomized Principal Component Analysis for Nonlinear Process Monitoring

Author(s): Ping Wu ; LingLing Guo ; SiWei Lou ; JinFeng Gao
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (Electronic): 2169-3536
DOI: 10.1109/ACCESS.2019.2901128
Regular:

Kernel principal component analysis (KPCA) has been widely used in nonlinear process monitoring since it can capture the process nonlinear characteristics. However, it suffers from high... View More

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