文件列表:

Kernel-Principal-Component-Analysis-KPCA\contents.m (1758, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\data\banana.mat (4118, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\data\circle.mat (4983, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\data\teprocess.mat (418823, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\demo_DR.m (587, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\demo_DR_with_reconstruction.m (652, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\demo_FD.m (559, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\demo_FD_with_diagnosis.m (1354, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\demo_kernel_function.m (1415, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\imgs\banana(re).png (246913, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\imgs\banana.png (155939, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\imgs\circle(re).png (259809, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\imgs\circle.png (177070, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\imgs\TE_fd.png (127149, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\imgs\TE_fd_fd.png (99140, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\KernelPCA\Kernel.m (5890, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\KernelPCA\KernelPCA.m (14542, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\KernelPCA\KernelPCAFunction.m (3790, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\KernelPCA\Visualization.m (4870, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\refs\Bak_r et al_2004_Learning to find pre-images.pdf (246940, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\refs\Deng_Tian_2011_A new fault isolation method based on unified contribution plots.pdf (125900, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\refs\Lee et al_2004_Nonlinear process monitoring using kernel principal component analysis.pdf (430466, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\data (0, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\imgs (0, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\KernelPCA (0, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA\refs (0, 2020-05-18)
Kernel-Principal-Component-Analysis-KPCA (0, 2020-05-18)

# Kernel Principal Component Analysis (KPCA) [](https://ww2.mathworks.cn/matlabcentral/fileexchange/69378-kernel-principal-component-analysis-kpca) MATLAB Code for non-linear dimensionality reduction, fault detection, and fault diagnosis through the use of kernels. Version 2.1, 6-MAY-2020 Email: iqiukp@outlook.com ------------------------------------------------------------------- ## Main features * Easy-used API for training and testing KPCA model * Multiple kinds of kernel functions * Support for dimensionality reduction, fault detection, and fault diagnosis * Support for data reconstruction ------------------------------------------------------------------- ## Notices * Only fault diagnosis of Gaussian kernel is supported. * Class is defined using 'Classdef...End', so this code can only be applied to MATLAB after the R2008a release. * More details and discussions please see: https://www.ilovematlab.cn/thread-560380-1-1.html * This code is for reference only. ------------------------------------------------------------------ ## Demo for dimensionality reduction ('banana' data and 'circle' data)

------------------------------------------------------------------- ## Demo for data reconstruction ('circle' data)

------------------------------------------------------------------- ## Demo for fault detection (TE process data)

------------------------------------------------------------------- ## Demo for fault diagnosis (TE process data)

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