Two-Step Localized Kernel Principal Component Analysis Based Incipient Fault Diagnosis for Nonlinear Industrial Processes
0202 electrical engineering, electronic engineering, information engineering
02 engineering and technology
DOI:
10.1021/acs.iecr.9b06826
Publication Date:
2020-03-07T03:47:17Z
AUTHORS (4)
ABSTRACT
Kernel principal component analysis (KPCA) has been widely applied to the nonlinear process fault diagnosis field. However, it often does not perform well in the case of incipient faults because of...
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