文件名称:matlab-KICA
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kica-故障监测
通过对自回归模型中测量矩阵引入时滞参数得到一个适用于动态系统的增广矩阵;然后,选择核函数,计算核矩阵,将增广矩阵映射到高维空间进行白化;最后,利用改进的快速ICA方法提取出独立成分实现对新的测试数据进行在线监测-kica-Fault monitoring
通过对自回归模型中测量矩阵引入时滞参数得到一个适用于动态系统的增广矩阵;然后,选择核函数,计算核矩阵,将增广矩阵映射到高维空间进行白化;最后,利用改进的快速ICA方法提取出独立成分实现对新的测试数据进行在线监测-kica-Fault monitoring
(系统自动生成,下载前可以参看下载内容)
下载文件列表
matlab程序KICA\fault06\1.fig
..............\.......\2.fig
..............\.......\3.fig
..............\.......\4.fig
..............\.......\dkica.m
..............\.......\ICA.m
..............\.......\independent.m
..............\.......\kica.m
..............\.......\test.m
..............\.......\updata.m
..............\TE\d00.dat
..............\..\d00.sta
..............\..\d00_te.dat
..............\..\d00_te.sta
..............\..\d01.dat
..............\..\d01_te.dat
..............\..\d01_te.sta
..............\..\d02.dat
..............\..\d02_te.dat
..............\..\d02_te.sta
..............\..\d03.dat
..............\..\d03_te.dat
..............\..\d04.dat
..............\..\d04_te.dat
..............\..\d05.dat
..............\..\d05_te.dat
..............\..\d06.dat
..............\..\d06_te.dat
..............\..\d07.dat
..............\..\d07_te.dat
..............\..\d08.dat
..............\..\d08_te.dat
..............\..\d09.dat
..............\..\d09_te.dat
..............\..\d10.dat
..............\..\d10_te.dat
..............\..\d11.dat
..............\..\d11_te.dat
..............\..\d12.dat
..............\..\d12_te.dat
..............\..\d13.dat
..............\..\d13_te.dat
..............\..\d14.dat
..............\..\d14_te.dat
..............\..\d15.dat
..............\..\d15_te.dat
..............\..\d16.dat
..............\..\d16_te.dat
..............\..\d17.dat
..............\..\d17_te.dat
..............\..\d18.dat
..............\..\d18_te.dat
..............\..\d19.dat
..............\..\d19_te.dat
..............\..\d20.dat
..............\..\d20_te.dat
..............\..\d21.dat
..............\..\d21_te.dat
..............\新建文件夹\新建文件夹.zip
..............\fault06
..............\TE
..............\新建文件夹
matlab程序KICA