中国风手机网站模板腾讯云建站
💥 💥 💞 💞 欢迎来到本博客 ❤️ ❤️ 💥 💥
🏆 博主优势： 🌞 🌞 🌞博客内容尽量做到思维缜密，逻辑清晰，为了方便读者。
⛳ 座右铭：行百里者，半于九十。
📋 📋 📋 本文目录如下： 🎁 🎁 🎁
目录
💥1 概述
📚2 运行结果
🎉3 参考文献
🌈4 Matlab代码实现
💥1 概述
形态学滤波是从集合论推导出的典型非线性信号处理方法。在这种方法中，可以通过与指定的结构元件（SE）相互作用来挖掘信号中的脉冲特征。SE的参数（即形状、高度和长度）选择对形态过滤结果有重要影响。针对该问题，该文提出一种自适应时变形态滤波（ATVMF）方法。ATVMF可以根据待分析信号的固有特性自适应地确定SE的形状和尺度，有效提高瞬态特征提取能力和计算效率。此外，还提出了广义形态产物算子（GMPO）的定义，可以构造新的形态积算子进行特征提取。
📚2 运行结果
部分代码：
function [ y ] = ATVMF( x, interp_method, operator )
% Algorithm name: Adaptive Time-Varying Morphological Filtering (ATVMF)
%
% Algorithm description: This method can achieve adaptive morphological filtering,
% in which a time-varying structure element (TVSE) is adaptively designed
% based on the characteristics of a signal and is no longer fixed.
%
% Input:
% x: signal to be analyzed (a vector)
% interp_method: selected interpllation method, such as 'spline', 'pchip',
% 'linear' and 'nearest', in which 'spline' is recommended.
% 'spline' -- cubic spline interpolation
% 'pchip' -- cubic Hermitian interpolation
% 'linear' -- piecewise linear interpolation
% 'nearest' -- nearest neighbor interpolation
% operator: selected morphological operator, see sub-function 'MF_operator'
%
% Output:
% y: morphological filtered signal
x = x(:)-mean(x); % a vector
N = length(x);
[indmin, indmax] = extreme_points(x); % Determine the location of local minima and maxima
% indmin -- the position of the local minimum point in the sequence x
% indmax -- the position of the local maximum point in the sequence x
tmin = indmin;
tmax = indmax;
xmin = x(tmin); % The magnitude of the local minimum point
xmax = x(tmax); % The magnitude of the local maximum point
% Sorting of local minimum and maximum points
textra = zeros(1,length(tmin)+length(tmax));
xextra = zeros(1,length(xmin)+length(xmax));
if tmin(1) < tmax(1) % The first extreme point is the minimum point
if tmin(end) > tmax(end) % The last extreme point is the minimum point
textra(1) = tmin(1);
xextra(1) = xmin(1);
for i = 1:length(tmax)
textra(2*i) = tmax(i);
textra(2*i+1) = tmin(i+1);
xextra(2*i) = xmax(i);
xextra(2*i+1) = xmin(i+1);
end
else % The last extreme point is the maximum point
for i = 1:length(tmax)
textra(2*i-1) = tmin(i);
textra(2*i) = tmax(i);
xextra(2*i-1) = xmin(i);
xextra(2*i) = xmax(i);
end
end
else % The first extreme point is the maximum point
if tmin(end) < tmax(end) % The last extreme point is the maximum point
textra(1) = tmax(1);
xextra(1) = xmax(1);
for i = 1:length(tmin)
textra(2*i) = tmin(i);
textra(2*i+1) = tmax(i+1);
xextra(2*i) = xmin(i);
xextra(2*i+1) = xmax(i+1);
end
else % The last extreme point is the minimum point
for i = 1:length(tmin)
textra(2*i-1) = tmax(i);
textra(2*i) = tmin(i);
xextra(2*i-1) = xmax(i);
xextra(2*i) = xmin(i);
end
end
end
% Selection of 'interp_method'
env = interp1(textra,xextra,textra(1):textra(end),interp_method);
delta = textra(1)-1;
S = length(indmin)-1; % number of SE
y = []; % output initialization
for s = 1:S
xnew = x(indmin(s)+1:indmin(s+1));
g = env(indmin(s)+1-delta:indmin(s+1)-delta);
g = g-min(g);
% the morphological filtering result
ynew = MF_operator( xnew, g, operator );
y = [y; ynew];
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% sub-function
function d = dilation(f,g)
% Morphological dilation operation
N = length(f);
M = length(g);
dtmp = f;
for i = 1:N
for j = 1:M
if (i-j) >= 1 && (i-j) <= N
tmp = f(i-j) + g(j);
if tmp > dtmp(i)
dtmp(i) = tmp;
end
end
end
end
d = dtmp;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% sub-function
function e = erosion(f,g)
% Morphological erosion operation
N = length(f);
M = length(g);
dtmp = f;
for i = 1:N
for j = 1:M
if (i+j) >= 1 && (i+j) <= N
tmp = f(i+j) - g(j);
if tmp < dtmp(i)
dtmp(i) = tmp;
end
end
end
end
e = dtmp;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% sub-function
function y = MF_operator( x, g, operator )
% Morphological operators
%
a1 = dilation(x,g); % dilation
a2 = erosion(a1,g); % closing
a3 = erosion(a2,g);
a4 = dilation(a3,g); % closing-opening
%
b1 = erosion(x,g); % erosion
b2 = dilation(b1,g); % opening
b3 = dilation(b2,g);
b4 = erosion(b3,g); % opening-closing
if strcmp(operator,'Gde') == 1
y = a1-b1;
elseif strcmp(operator,'Gco') == 1
y = a2-b2;
elseif strcmp(operator,'Gcooc') == 1
y = a4-b4;
elseif strcmp(operator,'AHde') == 1
y = x-(a1+b1)/2;
elseif strcmp(operator,'AHco') == 1
y = x-(a2+b2)/2;
elseif strcmp(operator,'AHcooc') == 1
y = x-(a4+b4)/2;
elseif strcmp(operator,'MGPO1') == 1
y = (a1-b1).*(a2-b2);
elseif strcmp(operator,'MGPO2') == 1
y = (a1-b1).*(a4-b4);
elseif strcmp(operator,'MGPO3') == 1
🎉3 参考文献
部分理论来源于网络，如有侵权请联系删除。
[1]陈斌， 宋大鹏， 张伟， 程彦， 王志， 一种用于轴承故障诊断的性能增强时变形态滤波方法， 测量学报 （2021） 109163.
[2]陈斌， 程彦， 张文， 梅国， 用于轴承断层特征提取的增强数学形态算子研究， ISA Trans. （2021）
[3]B. Chen, D. Song, W. Zhang, Y. Cheng, Z. Wang, A performance enhanced time-varying morphological filtering method for bearing fault diagnosis, Meas. J. Int. Meas. Confed. 176 (2021) 109163.
[4]B. Chen, Y. Cheng, W. Zhang, G. Mei, Investigation on enhanced mathematical morphological operators for bearing fault feature extraction, ISA Trans. (2021). https://doi.org/10.1016/j.isatra.2021.07.027.