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資源簡介

核主元分析（Kernel principal component analysis ，KPCA）是一種非線性數據處理方法。 該代碼的主要功能為： 1. 利用KPCA實現數據降維（特征提取） 2. 利用KPCA實現故障檢測 3. 利用KPCA實現故障診斷 4. 提供動態KPCA（DKPCA）擴展

資源截圖

代碼片段和文件信息 

%?Demo1:?Dimensionality?reduction?or?feature?extraction?using?KPCA
%?X:?training?samples
%
%%%%%%%%%%%%%%%%%%%%%%%%%%?????KPCA???????%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%?Improve?the?performance?by?adjusting?the?following?parameters:
%?1.?sigma??%?kernel?width
%?2.?dims???%?Dimensionality
%?---------------------------------------------------------------------%

clc
clear?all
close?all

addpath（genpath（pwd））

%?4?circles
load?circledata
X?=?circledata;
figure
for?i?=?1:4
????scatter（X（1+250*（i-1）:250*i1）X（1+250*（i-1）:250*i2））
????hold?on
end

%?Train?KPCA?model
model?=?kpca_train（X‘type‘0‘sigma‘5‘dims‘2）;

%?Visualize?the?result?of?dimensionality?reduction
figure
for?i?=?1:4
????scatter（model.mappedX（1+250*（i-1）:250*i1）?...?
????????model.mappedX（1+250*（i

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2019-10-16?13:05??data\
?????文件???????15737??2018-11-09?12:55??data\circledata.mat
?????文件??????153319??2019-04-10?16:30??data\test.mat
?????文件???????81003??2019-04-10?16:30??data\train.mat
?????文件?????????833??2019-04-18?23:13??demo1.m
?????文件?????????818??2019-04-18?23:13??demo2.m
?????文件????????1019??2019-04-18?23:22??demo3.m
?????文件????????1051??2019-04-18?23:17??demo4.m
?????目錄???????????0??2019-10-16?13:05??func\
?????文件????????2423??2019-04-18?23:14??func\computeCPs.m
?????文件?????????486??2019-04-18?23:14??func\computeKM.m
?????文件????????1064??2019-04-18?23:14??func\comtupeLimit.m
?????文件?????????749??2019-04-18?23:25??func\constructAM.m
?????文件????????2550??2019-04-18?23:14??func\CPsKPCA.m
?????文件????????1415??2019-04-18?23:15??func\kpca_test.m
?????文件????????3601??2019-04-18?23:21??func\kpca_train.m
?????文件????????1079??2019-04-18?23:15??func\normalize.m
?????文件?????????879??2019-04-18?23:15??func\plotCPs.m
?????文件????????1019??2019-04-18?23:15??func\plotResult.m
?????目錄???????????0??2019-10-16?13:05??refs\
?????文件??????125900??2019-04-11?15:44??refs\Deng_Tian_2011_A?new?fault?isolation?method?based?on?unified?contribution?plots.pdf
?????文件??????430466??2018-11-07?13:53??refs\Lee?et?al_2004_Nonlinear?process?monitoring?using?kernel?principal?component?analysis.pdf

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