PredictiveAi.m

%setup database
folder_path = 'C:\Users\hey\OneDrive\Bureau\Predictive Ai\database';
files = dir(folder_path);
for i = 1:length(files)
    if ~files(i).isdir 
        file_path = fullfile(folder_path, files(i).name);
        load(file_path);
        
    end
end



%excrate data
numExperiments = 2;
% Names of the original data files restored from the zip archive.
files = [ ...
  "struct_rs_R1.mat", ...
  "struct_r1b_R1.mat", ...
  "struct_r2b_R1.mat", ...
  "struct_r3b_R1.mat", ...
  "struct_r4b_R1.mat", ...
  ];

% Rotor conditions (that is, number of broken bars) corresponding to original data files.
health = [
  "healthy", ...
  "broken_bar_1", ...
  "broken_bar_2", ...
  "broken_bar_3", ...
  "broken_bar_4", ...
  ];

Fs_vib = 7600; % Sampling frequency of vibration signals in Hz.
Fs_elec = 50000; % Sampling frequency of electrical signals in Hz.


%test database befor starting
folder = 'data_files';
if ~exist(folder, 'dir')
  mkdir(folder);
end

%data files for each broken rotor bar condition
% Iterate over the number of broken rotor bars.
for i = 1:numel(health)
  fprintf('Processing data file %s\n', files(i))

  % Load the original data set stored as a struct.
  S = load(files(i));
  fields = fieldnames(S);
  dataset = S.(fields{1});

  loadLevels = fieldnames(dataset);
  % Iterate over load (torque) levels in each data set.
  for j = 1:numel(loadLevels)
    experiments = dataset.(loadLevels{j});
    data = struct;

    % Iterate over the given number of experiments for each load level.
    for k = 1:numExperiments
      signalNames = fieldnames(experiments(k));
      % Iterate over the signals in each experimental data set.
      for l = 1:numel(signalNames)
        % Experimental (electrical and vibration) data
        data.(signalNames{l}) = experiments(k).(signalNames{l});
      end

      % Operating conditions
      data.Health = health(i);
      data.Load = string(loadLevels{j});

      % Constant parameters
      data.Fs_vib = Fs_vib;
      data.Fs_elec = Fs_elec;

      % Save memberwise data.
      name = sprintf('rotor%db_%s_experiment%02d',  i-1, loadLevels{j}, k);
      fprintf('\tCreating the member data file %s.mat\n', name)
      filename = fullfile(pwd, folder, name);
      save(filename, '-v7.3', '-struct', 'data'); % Save fields as individual variables.
    end
  end
end