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...

Full description

Bibliographic Details
Main Authors: Xiaogang Deng, Na Zhong, Lei Wang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8076826/

Similar Items