資源簡介
模糊熵， 為解決從信號中提取故障特征難的問題, 介紹了一種新的信號故障特征提取方法—— 多尺度熵( multi-scale
entro py, 簡稱MSE) , 并將樣本熵和多尺度熵分別應用于轉子故障信號復雜性的度量, 以提取故障特征。試
代碼片段和文件信息
data?=a;
N=length（data）;
%?for?m=n:n+1;?%?run?it?twice?with?window?size?differing?by?1
function?apen?=?Fuzzy_entropy_bbd（nra）
%%?Code?for?computing?approximate?entropy?for?a?time?series:?Approximate
%?Entropy?is?a?measure?of?complexity.?It?quantifies?the?unpredictability?of
%?fluctuations?in?a?time?series
%?To?run?this?function-?type:?approx_entropy（‘window?length‘‘similarity?measure‘‘data?set‘）
%?i.e??approx_entropy（50.5a）
%?window?length=?length?of?the?window?which?should?be?considered?in?each?iteration
%?similarity?measure?=?measure?of?distance?between?the?elements
%?data?set?=?data?vector
%?small?values?of?apen?（approx?entropy）?means?data?is?predictable?whereas
%?higher?values?mean?that?data?is?unpredictable
%?concept?boorowed?from?http://www.physionet.org/physiotools/Ap?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????1736??2020-11-07?19:48??Fuzzy_entropy_bbd.m
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