├── README.md ├── data ├── 12k │ ├── 007 │ │ ├── B007-0.mat │ │ ├── B007-1.mat │ │ ├── B007-2.mat │ │ ├── B007-3.mat │ │ ├── IR007-0.mat │ │ ├── IR007-1.mat │ │ ├── IR007-2.mat │ │ ├── IR007-3.mat │ │ ├── OR007@3_0.mat │ │ ├── OR007@3_1.mat │ │ ├── OR007@3_2.mat │ │ ├── OR007@6_0.mat │ │ ├── OR007@6_1.mat │ │ ├── OR007@6_2.mat │ │ └── OR007@6_3.mat │ ├── 014 │ │ ├── B014-0.mat │ │ ├── B014-1.mat │ │ ├── B014-2.mat │ │ ├── B014-3.mat │ │ ├── IR014-0.mat │ │ ├── IR014-1.mat │ │ ├── IR014-2.mat │ │ ├── IR014-3.mat │ │ ├── OR014@6_0.mat │ │ ├── OR014@6_1.mat │ │ ├── OR014@6_2.mat │ │ └── OR014@6_3.mat │ ├── 021 │ │ ├── B021_0.mat │ │ ├── B021_1.mat │ │ ├── B021_2.mat │ │ ├── B021_3.mat │ │ ├── IR021_0.mat │ │ ├── IR021_1.mat │ │ ├── IR021_2.mat │ │ ├── IR021_3.mat │ │ ├── OR021@6-2.mat │ │ ├── OR021@6-3.mat │ │ ├── OR021@6_0.mat │ │ ├── OR021@6_1.mat │ │ ├── OR021@6_2.mat │ │ └── OR021@6_3.mat │ └── 028 │ │ ├── B028_0.mat │ │ ├── B028_1.mat │ │ ├── B028_2.mat │ │ ├── B028_3.mat │ │ ├── IR028_0.mat │ │ ├── IR028_1.mat │ │ ├── IR028_2.mat │ │ └── IR028_3.mat ├── normal │ ├── 100.mat │ ├── 97.mat │ ├── 98.mat │ └── 99.mat └── 西储大学数据说明.docx ├── esmd4j └── Esmd.class ├── readme.txt ├── run_1.m ├── run_2.asv ├── run_2.m ├── tezhengxiangliang └── B007.xlsx ├── tu.m └── winddata.txt /README.md: -------------------------------------------------------------------------------- 1 | # LSTM-SVM-Classify 2 | LSTM和SVM实现设备故障诊断 3 | -------------------------------------------------------------------------------- /data/12k/007/B007-0.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wangzhijie/LSTM-SVM-Classify/afa1847c42ba403b62cf4447dcf021dfe2109ed0/data/12k/007/B007-0.mat -------------------------------------------------------------------------------- /data/12k/007/B007-1.mat: -------------------------------------------------------------------------------- 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default value 4 | 3. run_2.m 5 | -------------------------------------------------------------------------------- /run_1.m: -------------------------------------------------------------------------------- 1 | disp('It is running. Please wait ...'); 2 | clear all; 3 | javaaddpath(pwd); 4 | esmd= esmd4j.Esmd(); 5 | % load data 6 | data=load('data\12k\007\B007-0.mat'); 7 | Y=data.X118_DE_time(1025:2048); 8 | delt_t = 0.05; % sampling period 9 | t=esmd.init_t(length(Y),delt_t); 10 | %parameters setting: 11 | minLoop=1; 12 | maxLoop=40; 13 | extremeNumR=6; % >=4 14 | jianGeNum = 1; % 15 | rList = esmd.getVarianceRatio(t, Y, minLoop, maxLoop, extremeNumR); 16 | [minVar,idx]=min(rList); 17 | optLoop=idx+minLoop-1; 18 | %disp('optimal loop is: '); 19 | %fprintf('optLoop=%d\n',optLoop); 20 | %----------------------------------- 21 | x=minLoop:maxLoop; 22 | %figure(1) 23 | %plot(x,rList) 24 | 25 | -------------------------------------------------------------------------------- /run_2.asv: -------------------------------------------------------------------------------- 1 | %parameters setting: 2 | 3 | esmd.getSift(t, Y, optLoop, extremeNumR); 4 | %------------------------------------------- 5 | len = esmd.yImfsR.size(); 6 | figure(2) 7 | for i=1:len 8 | subplot(len,1,i); 9 | plot(t,esmd.yImfsR.get(i-1)); 10 | %y=fft(esmd.yImfsR.get(i-1),length(esmd.yImfsR.get(i-1))); 11 | if i==1 12 | ylabel('Y'); 13 | elseif i==len 14 | ylabel('R'); 15 | else 16 | ylabel(strcat('Imf',num2str(i-1))); 17 | end 18 | end 19 | m1= 20 | for i=1:1024 21 | sum=0; 22 | for j=0:3 23 | m=esmd.yImfsR.get(j); 24 | sum=sum+m(i)*m(i); 25 | end 26 | sum=sqrt(sum); 27 | m(i)=m(i); 28 | end 29 | fprintf('\n'); 30 | 31 | 32 | %------------------------------------------- 33 | % len=esmd.interfs.size(); 34 | % figure(3) 35 | % frequency distribution figure 36 | % for i=1:len 37 | % plot(t,esmd.interfs.get(i-1)) 38 | % hold on 39 | % end 40 | % 41 | % ------------------------------------------- 42 | % figure(4) 43 | % frequency Amplitude figure 44 | % for i=1:len 45 | % subplot(2*len,1,2*i-1) 46 | % plot(t,esmd.interfs.get(i-1)) 47 | % ylabel(strcat('F',num2str(i))) 48 | % 49 | % subplot(2*len,1,2*i) 50 | % plot(t,esmd.upperEvelops.get(i-1)) 51 | % ylabel(strcat('A',num2str(i))) 52 | % end 53 | % 54 | % ------------------------------------------- 55 | % figure(5) 56 | % AdaptGlobalMeanCurve on Y 57 | % len = esmd.yImfsR.size(); 58 | % plot(t,Y); 59 | % hold on; 60 | % R=esmd.yImfsR.get(len-1); 61 | % plot(t,R); 62 | % 63 | % ------------------------------------------- 64 | % figure(6) 65 | % plot Y-R 66 | % plot(t,Y-R) 67 | % 68 | % ------------------------------------------- 69 | % figure(7) 70 | % plot(t,esmd.energy) 71 | % 72 | % clear all; 73 | % javarmpath(pwd); 74 | -------------------------------------------------------------------------------- /run_2.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wangzhijie/LSTM-SVM-Classify/afa1847c42ba403b62cf4447dcf021dfe2109ed0/run_2.m -------------------------------------------------------------------------------- /tezhengxiangliang/B007.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wangzhijie/LSTM-SVM-Classify/afa1847c42ba403b62cf4447dcf021dfe2109ed0/tezhengxiangliang/B007.xlsx -------------------------------------------------------------------------------- /tu.m: -------------------------------------------------------------------------------- 1 | a=[0.1,0.2,0.3,0.5]; 2 | bar(a); -------------------------------------------------------------------------------- /winddata.txt: -------------------------------------------------------------------------------- 1 | -5.42,-4.61,0.97 2 | -4.81,-4.95,0.76 3 | -4.19,-5.42,0.95 4 | -4.14,-4.95,0.52 5 | -3.85,-4.97,1.11 6 | -3.79,-4.21,0.93 7 | -3.78,-4.45,1.4 8 | -3.86,-4.2,0.68 9 | -3.92,-4.66,0.82 10 | -3.77,-4.51,0.58 11 | -3.44,-4.43,0.83 12 | -4.14,-5.24,0.28 13 | -4.03,-4.35,0.43 14 | -4.12,-4.42,-0.68 15 | -4.07,-4.34,0.48 16 | -3.29,-4.37,0.82 17 | -2.87,-4.7,0.69 18 | -2.91,-3.9,0.25 19 | 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