I want to calculate the moving rms of accelerometer data.
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Hi
I am working on a project where I get accelerometer data with a vector containing the acceleration (1019970 samples) and another vector containg the time corresponding to the acceleration vector. The sampling time is 1.6667e-04. I want to calculate the moving rms of this signal according to the signal. The formulas I have are for the integral notation and for the discrete time notation as seen below.
How would I implement this in matlab to obtain the moving rms for the acceleration vector (without using simulink).
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Star Strider
2023-6-30
Try something like this —
Fs = 5000;
T = 100;
t = linspace(0, T*Fs, T*Fs-1)/Fs;
s = sin(2*pi*t*25);
xrms = @(s, n) sqrt(movmean(s.^2, n)); % Calculate RMS Function, 'n': Window Of Consecutive Data
figure
plot(t, s, 'DisplayName','Signal')
hold on
plot(t, xrms(s,100), 'DisplayName','RMS(Signal)')
hold off
grid
legend('Location', 'best')
xlim([0 1])
The ‘xrms’ function produces the expected result of for the RMS value of a sine signal (after a short initial transient) over 100 data points (in this example).
.
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