Load multiple files to MATLAB without changing name manually
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Yew Jen Chong
am 13 Jun. 2022
Kommentiert: Yew Jen Chong
am 14 Jun. 2022
Hello, I have written a program for signal analyzing and I want to apply it to different files. Is there any ways to upload multiple files automatically without the needs of changing the file name manually as shown below?
cm = readtable('signal1.csv', 'VariableNamingRule','preserve');
Thank you if someone can assist me.
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Chunru
am 13 Jun. 2022
% list the files to be processed
fn = dir("signal*.csv");
for ifile=1:length(fn)
current_fn = fn(ifile).name;
% [file,path]=uigetfile('*.csv','MultiSelect','on');
cm = readtable(current_fn, 'VariableNamingRule','preserve');
cmVar = cm.Properties.VariableNames;
figure
plot(cm{:,1},cm{:,[2 3]})
grid
xlabel(cmVar{1})
legend(cmVar{[2 3]}, 'Location','best')
title('Original Signal')
env1 = envelope(cm{:,2}, 250, 'peak');
figure
plot(cm{:,1},cm{:,[2 3]})
hold on
plot(cm{:,1},env1,'LineWidth',2)
hold off
grid
xlabel(cmVar{1})
legend(cmVar{[2 3]},'Envelope','Location','best')
title('Original Signal with Envelope')
Threshold = 5;
Lv = env1 >= Threshold;
figure
plot(cm{Lv,1},cm{Lv,[2 3]})
grid
xlabel(cmVar{1})
legend(cmVar{[2 3]},'Location','best')
title('Edited Signal')
figure
Fs = 1/cm{2,1};
findpeaks(cm{Lv,2},Fs,'MinPeakDistance',0.016,'MinPeakProminence',15,'MinPeakHeight',15);
[pksRT,locsRT] = findpeaks(cm{Lv,2},Fs,'MinPeakDistance',0.016,'MinPeakProminence',15,'MinPeakHeight',15);
pksRT1 = num2cell(pksRT);
legend(cmVar{2},'Location','bestoutside')
text(locsRT,pksRT+5,pksRT1,'FontSize',8,'Rotation',90)
Period = diff(locsRT);
Period_mean = mean(Period);
Period_min= min(Period);
Period_max = max(Period);
impact= table (Period);
impact.Frequency = (1./Period)*60;
torque_rms = rms(cm{Lv,"Reaction Torque [Nm]"});
current_rms = rms(cm{Lv,"Current RMS [amp]"});
Step_res=stepinfo(cm.("Reaction Torque [Nm]"),cm.("Time [s]"))
Area_torque=cumtrapz(cm{Lv,"Time [s]"},cm{Lv,"Reaction Torque [Nm]"});
Overall_data = table(torque_rms,current_rms, Period_max, Period_min, Period_mean);
Overall_data.Area_torque = Area_torque(end);
% writetable (Overall_data, 'ML_Data.csv')
% writetable (impact, 'ML_Data.csv')
end
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Karim
am 13 Jun. 2022
Hey, you can read the data via a loop, see below.
Best regards
numFiles = 3;
for nF = 1:numFiles
cm = readtable(['signal',num2str(nF),'.csv'], 'VariableNamingRule','preserve');
% put other process code here
end
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