67 lines
1.8 KiB
Mathematica
67 lines
1.8 KiB
Mathematica
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% Matlab Init :noexport:ignore:
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clear; close all; clc;
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%% Intialize Laplace variable
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s = zpk('s');
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%% Initialize ans with org-babel
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ans = 0;
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% Load data
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% We load the data of the z axis of two geophones.
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meas14 = load('mat/data_014.mat', 'data'); meas14 = meas14.data;
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meas15 = load('mat/data_015.mat', 'data'); meas15 = meas15.data;
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% Time Domain
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% The signals are shown on figure [[fig:ac_dc_option_time]].
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figure;
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hold on;
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plot(meas14(:, 3), meas14(:, 1), 'DisplayName', 'Amp1 - AC');
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plot(meas14(:, 3), meas14(:, 2), 'DisplayName', 'Amp2 - DC');
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plot(meas15(:, 3), meas15(:, 1), 'DisplayName', 'Amp1 - DC');
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plot(meas15(:, 3), meas15(:, 2), 'DisplayName', 'Amp2 - AC');
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hold off;
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legend('Location', 'bestoutside');
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xlabel('Time [s]');
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ylabel('Voltage [V]');
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xlim([0, 100]);
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% Frequency Domain
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% We first compute some parameters that will be used for the PSD computation.
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dt = meas14(2, 3)-meas14(1, 3);
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Fs = 1/dt; % [Hz]
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win = hanning(ceil(10*Fs));
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% Then we compute the Power Spectral Density using =pwelch= function.
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[pxamp1ac, f] = pwelch(meas14(:, 1), win, [], [], Fs);
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[pxamp2dc, ~] = pwelch(meas14(:, 2), win, [], [], Fs);
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[pxamp1dc, ~] = pwelch(meas15(:, 1), win, [], [], Fs);
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[pxamp2ac, ~] = pwelch(meas15(:, 2), win, [], [], Fs);
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% The ASD of the signals are compare on figure [[fig:ac_dc_option_asd]].
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figure;
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hold on;
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plot(f, sqrt(pxamp1ac), 'DisplayName', 'Amp1 - AC');
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plot(f, sqrt(pxamp2dc), 'DisplayName', 'Amp2 - DC');
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plot(f, sqrt(pxamp1dc), 'DisplayName', 'Amp1 - DC');
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plot(f, sqrt(pxamp2ac), 'DisplayName', 'Amp2 - AC');
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hold off;
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set(gca, 'xscale', 'log');
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set(gca, 'yscale', 'log');
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xlabel('Frequency [Hz]'); ylabel('ASD of the measured Voltage $\left[\frac{V}{\sqrt{Hz}}\right]$')
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legend('Location', 'northeast');
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xlim([0.1, 500]);
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