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How to convert accelerometer data to find displacement graph

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I have a triple axis accelerometer sensors. we are doing vibrational analysis for a Civil engg structure, we are able to successfully get raw data from the accelerometer (XYZ in g's). We transfered this raw data into matlab and did acceleration and Fast fourier transform plot to get frequency. We are stuck on writing the code to change the acceleration data into displacement. If anyone has any tips on where we should go with this, it would be greatly appreciated. Thanks in advance.I have attached the Accleration plot. I have tried using CumTrapz command but it dosent give proper results.

Respuesta aceptada

Mathieu NOE
Mathieu NOE el 8 de Oct. de 2021
see my suggestion below
data = csvread('data.csv',1); % time & Acceleration data
t = data(:,1);
acc = data(:,2);
acc = detrend(acc,'linear');
N = length(t);
dt = mean(diff(t)); % Average dt
fs = 1/dt; % Frequency [Hz] or sampling rate
% some additionnal high pass filtering
N = 4;
fc = 0.05; % Hz
[B,A] = butter(N,2*fc/fs,'high');
acc2 = filter(B,A,acc);
velocity = cumtrapz(dt,acc2);
velocity = detrend(velocity,'linear');
disp = cumtrapz(dt,velocity);
  10 comentarios
Riddhi el 22 de Ag. de 2023
How do we select the fc?

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Bora Eryilmaz
Bora Eryilmaz el 21 de Mzo. de 2024
The new convertVibration function in MATLAB R2024a release of the Predictive Maintenance Toolbox lets you compute baseline-corrected and filtered acceleration, velocity, and displacement signals from vibration measurements using a single sensor output from either an accelerometer, velocity sensor, or displacement sensor.


Más información sobre Spectral Measurements en Help Center y File Exchange.


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