Nonlinear Multimode Industrial Process Fault Detection Using Modified Kernel Principal Component Analysis
Kernel principal component analysis (KPCA) has been a state-of-the-art nonlinear process monitoring method. However, KPCA assumes the single operation mode while the real industrial processes often run under multiple operation conditions. In order to monitor the nonlinear multimode processes effecti...
Main Authors: | Xiaogang Deng, Na Zhong, Lei Wang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8076826/ |
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