The empirical mode decomposition of mechanical EMD can be realized, feature quantity is extracted and neural network is used to identify the type of fault.

Filename	Size	Update
emd+信息熵\chuli.m	4348	2017-07-25
emd+信息熵\disp_hhs.m	1931	2016-06-02
emd+信息熵\emd.m	1217	2017-07-02
emd+信息熵\EMD_test.m	1238	2018-01-10
emd+信息熵\extrema.m	4361	2016-04-28
emd+信息熵\findpeak.m	146	2007-08-26
emd+信息熵\hhspectrum.m	1131	2016-06-01
emd+信息熵\ifndq.m	3502	2016-04-28
emd+信息熵\instfreq.m	1822	2013-03-12
emd+信息熵\matlab.mat	2817296	2017-07-10
emd+信息熵\nengliang.m	197	2017-07-10
emd+信息熵\xinhao(chulihou).mat	52811	2017-07-05
emd+信息熵	0	2018-01-12

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