增压机组常见振动故障诊断方法研究

论文总字数：9429字

clc;

clear all;

h_fig=figure('name','基于人工神经网络的压缩机振动故障诊断系统','numbertitle','off');

set(gcf,'unit','normalized','Position',[0,0.05,1,1]);

set(gcf,'menubar','none');

menu1=uimenu(gcf,'label','菜单');

menu11=uimenu(menu1,'label','退出','callback','close');

menu2=uimenu(gcf,'label','color');

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text2=uicontrol(h_fig,'style','text','unit','normalized','position',[0.01,0.30,0.45,0.20],'string',...

['使用说明：在“请输入特征向量”后面的三个方框中输入相应的测试样本，然后“开始诊断”按钮即可得到诊断结果！'],...

'fontsize',13,'fontname','隶书' );

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%频谱特征向量显示文本框

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text40=uicontrol(h_fig,'style','text','unit','normalized','position',[0.90,0.85,0.07,0.08],'string',['轴向'],'fontsize',10,'fontname','方正体');

%振动故障频谱特征向量输入文本框

edit11=uicontrol(h_fig,'style','edit','unit','normalized','position',[0.18,0.79,0.08,0.05]);

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edit19=uicontrol(h_fig,'style','edit','unit','normalized','position',[0.82,0.79,0.08,0.05]);

edit20=uicontrol(h_fig,'style','edit','unit','normalized','position',[0.90,0.79,0.08,0.05]);

%诊断结果输出文本框

text4=uicontrol(h_fig,'style','text','unit','normalized','position',[0.01,0.6,0.20,0.08],'string',['诊断结果:'],'fontsize',16,'fontname','方正体');

%建立图形窗口

axes('Position',[0.5,0.05,0.45,0.45]);

%push2=uicontrol(gcf,'style','push','Unit','normalized','Posi',[0.85,0.35,0.15,0.15],'string','绘图','call','COMM(hedit)');%建立执行输入命令操作的绘图按钮

edit21=uicontrol(h_fig,'style','edit','unit','normalized','position',[0.22,0.64,0.08,0.05]);

edit22=uicontrol(h_fig,'style','edit','unit','normalized','position',[0.30,0.64,0.08,0.05]);

edit23=uicontrol(h_fig,'style','edit','unit','normalized','position',[0.38,0.64,0.08,0.05]);

edit24=uicontrol(h_fig,'style','edit','unit','normalized','position',[0.46,0.64,0.08,0.05]);

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edit26=uicontrol(h_fig,'style','edit','unit','normalized','position',[0.62,0.64,0.08,0.05]);

%诊断结果只是框

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text43=uicontrol(h_fig,'style','text','unit','normalized','position',[0.46,0.55,0.07,0.08],'string',['半速涡动'],'fontsize',10,'fontname','方正体');

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text45=uicontrol(h_fig,'style','text','unit','normalized','position',[0.62,0.55,0.07,0.08],'string',['喘振'],'fontsize',10,'fontname','方正体');

%诊断时间输出

text5=uicontrol(h_fig,'style','text','unit','normalized','position',[0.01,0.01,0.20,0.08],'string',['诊断时间：'],'fontsize',16,'fontname','隶书');

str=datestr(now,26);

time=uicontrol(h_fig,'style','text','unit','normalized','position',[0.25,0.01,0.20,0.08],'string',str,'fontsize',15);

% %======原始数据输入========

% p=[ 0,0,0,0.1,0,0;

% 0,0,0,0.8,1,0.3;

% 0,0,0,0.1,0,0.1;

% 0.9,0.4,0,0,0,0.6;

% 0.05,0.5,0,0,0,0;

% 0.05,0.1,1,0,0,0;

% 0.4,0.2,0.3,0.4,0.4,0.4;

% 0.5,0.3,0.5,0.5,0.5,0.5;

% 0.1,0.5,0.2,0.1,0.1,0.1;

% 0.2,0.2,0.2,0.2,0.2,0.8];

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