hello
this is my suggestion - maybe you will have to do a few mods according how the data is stored in your mat files (not supplied)
fileDir = pwd; % current directory or specify the target directory
S = dir(fullfile(fileDir,'bearing*.mat')); % get list of data files in directory
S = natsortfiles(S); % sort file names into natural order (what matlab does not do well) , see FEX :
%(https://fr.mathworks.com/matlabcentral/fileexchange/47434-natural-order-filename-sort)
for k = 1:length(S)
data = load(fullfile(fileDir, S(k).name));
time = data.time;
signal = data.signal;
signal_rms(k) = sqrt(mean(signal.^2));
CrestFactor(k) = max(abs(signal))/signal_rms(k);
end
figure
plot((1:k),signal_rms)
figure
plot((1:k),CrestFactor)
FYI I created some dummy data files to test the above code
Fs = 1000;
dt = 1/Fs;
for ci = 1:123
baseFileName = ['bearing_1_1_' num2str(ci) '.mat'];
time = 0:dt:1; % time vector
signal = ci*sin(2*pi*ci*time)+ 0.1*ci*rand(size(time)); % non constant amplitude and freq signal vector
save(baseFileName,'time','signal');
end
