MATLAB: How to Apply FFT on CVS file.

Question

I am Begnier and have no idea how to apply fast fourier transform. I have vibration data with three columns and it is very large data (length of 215997 )

I want to apply Fast fourier transform on it. I don't know how to start and where to strat.

I collected this data by running my pump 6 hours.

Answer 1

This will get you started:

[D,S] = xlsread('dry pump_6h data_acceleration.csv');
t = D(:,1);
Accel = D(:,2:end);
Ts = mean(diff(t));                                     % Sampling Interval
Fs = 1/Ts;                                              % Sampling Frequency
Fn = Fs/2;                                              % Nyquist Frequency
L = size(D,1);                                          % Data  Vector Length
FT_Accel = fft(Accel-mean(Accel))/L;                    % Subtrace Constant Offset & Calculate Fourier Transform
Fv = linspace(0, 1, fix(L/2)+1)*Fn;                     % Frequency Vector
Iv = 1:numel(Fv);                                       % Index Vector
figure
subplot(3,1,1)
plot(Fv, abs(FT_Accel(Iv,1))*2)
title(S{1})
grid
subplot(3,1,2)
plot(Fv, abs(FT_Accel(Iv,2))*2)
title(S{2})
grid
subplot(3,1,3)
plot(Fv, abs(FT_Accel(Iv,3))*2)
title(S{3})
xlabel('Frequency')
grid