相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Online monitoring of nonlinear multivariate industrial processes using filtering KICA-PCA
Jicong Fan et al.
CONTROL ENGINEERING PRACTICE (2014)
Weighted kernel principal component analysis based on probability density estimation and moving window and its application in nonlinear chemical process monitoring
Qingchao Jiang et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2013)
A novel nonlinear adaptive Mooney-viscosity model based on DRPLS-GP algorithm for rubber mixing process
Ze Zhang et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2012)
Application of nonlinear PCA for fault detection in polymer extrusion processes
Xueqin Liu et al.
NEURAL COMPUTING & APPLICATIONS (2012)
Fault diagnosis of nonlinear processes using multiscale KPCA and multiscale KPLS
Yingwei Zhang et al.
CHEMICAL ENGINEERING SCIENCE (2011)
Variable window adaptive Kernel Principal Component Analysis for nonlinear nonstationary process monitoring
Issam Ben Khediri et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2011)
Improved nonlinear PCA for process monitoring using support vector data description
Xueqin Liu et al.
JOURNAL OF PROCESS CONTROL (2011)
Non-linear multivariate and multiscale monitoring and signal denoising strategy using Kernel Principal Component Analysis combined with Ensemble Empirical Mode Decomposition method
Matej Zvokelj et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2011)
Reconstruction-Based Contribution for Process Monitoring with Kernel Principal Component Analysis
Carlos F. Alcala et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2010)
Adaptive kernel principal component analysis
Mingtao Ding et al.
SIGNAL PROCESSING (2010)
Improved kernel PCA-based monitoring approach for nonlinear processes
Zhiqiang Ge et al.
CHEMICAL ENGINEERING SCIENCE (2009)
Moving window kernel PCA for adaptive monitoring of nonlinear processes
Xueqin Liu et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2009)
An embedded fault detection, isolation and accommodation system in a model predictive controller for an industrial benchmark process
Markus Kettunen et al.
COMPUTERS & CHEMICAL ENGINEERING (2008)
Fault detection and isolation of an on-line analyzer for an ethylene cracking process
Petteri Kampjarvi et al.
CONTROL ENGINEERING PRACTICE (2008)
Efficiently updating and tracking the dominant kernel principal components
L. Hoegaerts et al.
NEURAL NETWORKS (2007)
Nonlinear dynamic process monitoring based on dynamic kernel PCA
SW Choi et al.
CHEMICAL ENGINEERING SCIENCE (2004)
Nonlinear process monitoring using kernel principal component analysis
JM Lee et al.
CHEMICAL ENGINEERING SCIENCE (2004)
Adding and subtracting eigenspaces with eigenvalue decomposition and singular value decomposition
P Hall et al.
IMAGE AND VISION COMPUTING (2002)
Merging and splitting eigenspace models
P Hall et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2000)
分享论文
