Results 181 to 190 of about 7,354 (203)

Monitoring of chemical processes using improved multiscale KPCA

2017 4th International Conference on Control, Decision and Information Technologies (CoDIT), 2017
Statistical process monitoring charts are critical in ensuring safety for many chemical processes. Principal Component Analysis (PCA) is often used, due to its computational simplicity. However, many chemical processes may be inherently nonlinear, and this degrades the performance of the linear PCA method.
M. Ziyan Sheriff, M. Nazmul Karim, Mohamed N. Nounou, Hazem Nounou, Majdi Mansouri   +4 more
openaire   +1 more source

Face Recognition Based on PCA/KPCA Plus CCA

2005
Based on the equivalence between canonical correlation analysis (CCA) and Fisher linear discriminant analysis (FLDA), two methods for feature extraction of face images are proposed in this paper. In the first approach, the high-dimensional face images are first mapped into the range space of total scatter matrix using principle component analysis (PCA).
Yunhui He, Li Zhao, Cairong Zou
openaire   +1 more source

A KPCA-BRANN based data-driven approach to model corrosion degradation of subsea oil pipelines

Reliability Engineering and System Safety, 2022
Xinhong Li
exaly  

Essence of kernel Fisher discriminant: KPCA plus LDA

Pattern Recognition, 2004
Yang, J., Jin, Z., Yang, J. Y., Zhang, D., Frangi, A. F.   +4 more
openaire   +2 more sources

Reduced Rank KPCA based on GLRT chart for sensor fault detection in nonlinear chemical process

Measurement: Journal of the International Measurement Confederation, 2021
Okba Taouali
exaly  

Remaining useful life prediction of rolling bearings based on Pearson correlation-KPCA multi-feature fusion

Measurement: Journal of the International Measurement Confederation, 2022
Gang Wang
exaly  

The signal reconstruction of speech by KPCA

6th International Conference on Spoken Language Processing (ICSLP 2000), 2000
Hui Yan, Xuegong Zhang, Yanda Li, Liqin Shen, Weibin Zhu   +4 more
openaire   +1 more source

A method for speeding up feature extraction based on KPCA

Neurocomputing, 2007
David Zhang, Dapeng
exaly  

TE process fault diagnosis based on KPCA-RF

2023 35th Chinese Control and Decision Conference (CCDC), 2023
Xinjie Han, Hualin Zhao, Yuanshuai Song, Dexin Sun, Yunsheng Fan   +4 more
openaire   +1 more source

Learning a data-dependent kernel function for KPCA-based nonlinear process monitoring

Chemical Engineering Research and Design, 2009
Jong Min Lee
exaly