Deleted some mat files, finished the slip of the slip-ring measures
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@ -184,15 +184,13 @@ We then compute the Power Spectral Density of the two signals and we compare the
|
||||
- The measurements will be redone
|
||||
#+end_important
|
||||
|
||||
* TODO Measure of the noise induced by the Slip-Ring using voltage amplifiers - Geophone
|
||||
* Measure of the noise induced by the Slip-Ring using voltage amplifiers - Geophone
|
||||
:PROPERTIES:
|
||||
:header-args:matlab+: :tangle matlab/meas_sr_geophone.m
|
||||
:header-args:matlab+: :comments org :mkdirp yes
|
||||
:END:
|
||||
<<sec:meas_sr_geophone>>
|
||||
|
||||
- [ ] Where is the data_012 and 13 measurement ?
|
||||
|
||||
** ZIP file containing the data and matlab files :ignore:
|
||||
#+begin_src bash :exports none :results none
|
||||
if [ matlab/meas_sr_geophone.m -nt data/meas_sr_geophone.zip ]; then
|
||||
|
BIN
slip-ring-electrical-noise/mat/data_012.mat
Normal file
BIN
slip-ring-electrical-noise/mat/data_013.mat
Normal file
@ -1,67 +0,0 @@
|
||||
%% Clear Workspace and Close figures
|
||||
clear; close all; clc;
|
||||
|
||||
%% Intialize Laplace variable
|
||||
s = zpk('s');
|
||||
|
||||
% Load data
|
||||
% We load the data of the z axis of two geophones.
|
||||
|
||||
sr_off = load('mat/data_001.mat', 't', 'x1', 'x2');
|
||||
sr_on = load('mat/data_002.mat', 't', 'x1', 'x2');
|
||||
|
||||
% Analysis
|
||||
% Let's first look at the signal produced by the DAC (figure [[fig:random_signal]]).
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(sr_on.t, sr_on.x1);
|
||||
hold off;
|
||||
xlabel('Time [s]'); ylabel('Voltage [V]');
|
||||
xlim([0 10]);
|
||||
|
||||
|
||||
|
||||
% #+NAME: fig:random_signal
|
||||
% #+CAPTION: Random signal produced by the DAC
|
||||
% #+RESULTS: fig:random_signal
|
||||
% [[file:figs/random_signal.png]]
|
||||
|
||||
% We now look at the difference between the signal directly measured by the ADC and the signal that goes through the slip-ring (figure [[fig:slipring_comp_signals]]).
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(sr_on.t, sr_on.x1 - sr_on.x2, 'DisplayName', 'Slip-Ring - $\omega = 1rpm$');
|
||||
plot(sr_off.t, sr_off.x1 - sr_off.x2,'DisplayName', 'Slip-Ring off');
|
||||
hold off;
|
||||
xlabel('Time [s]'); ylabel('Voltage [V]');
|
||||
xlim([0 10]);
|
||||
legend('Location', 'northeast');
|
||||
|
||||
|
||||
|
||||
% #+NAME: fig:slipring_comp_signals
|
||||
% #+CAPTION: Alteration of the signal when the slip-ring is turning
|
||||
% #+RESULTS: fig:slipring_comp_signals
|
||||
% [[file:figs/slipring_comp_signals.png]]
|
||||
|
||||
|
||||
dt = sr_on.t(2) - sr_on.t(1);
|
||||
Fs = 1/dt; % [Hz]
|
||||
|
||||
win = hanning(ceil(1*Fs));
|
||||
|
||||
[pxx_on, f] = pwelch(sr_on.x1 - sr_on.x2, win, [], [], Fs);
|
||||
[pxx_off, ~] = pwelch(sr_off.x1 - sr_off.x2, win, [], [], Fs);
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(f, sqrt(pxx_on), 'DisplayName', 'Slip-Ring - $\omega = 1rpm$');
|
||||
plot(f, sqrt(pxx_off),'DisplayName', 'Slip-Ring off');
|
||||
hold off;
|
||||
set(gca, 'xscale', 'log'); set(gca, 'yscale', 'log');
|
||||
xlabel('Frequency [Hz]'); ylabel('PSD $\left[\frac{V}{\sqrt{Hz}}\right]$');
|
||||
legend('Location', 'northeast');
|
||||
xlim([1, 500]); ylim([1e-5, 1e-3])
|
@ -1,84 +0,0 @@
|
||||
%% Clear Workspace and Close figures
|
||||
clear; close all; clc;
|
||||
|
||||
%% Intialize Laplace variable
|
||||
s = zpk('s');
|
||||
|
||||
% Load data
|
||||
% We load the data of the z axis of two geophones.
|
||||
|
||||
sr_off = load('mat/data_008.mat', 'data'); sr_off = sr_off.data;
|
||||
sr_on = load('mat/data_009.mat', 'data'); sr_on = sr_on.data;
|
||||
sr_6r = load('mat/data_010.mat', 'data'); sr_6r = sr_6r.data;
|
||||
sr_60r = load('mat/data_011.mat', 'data'); sr_60r = sr_60r.data;
|
||||
|
||||
% Time Domain
|
||||
% We plot the time domain data for the direct measurement (figure [[fig:sr_direct_time]]) and for the signal going through the slip-ring (figure [[fig:sr_slipring_time]]);
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(sr_60r(:, 3), sr_60r(:, 1), 'DisplayName', '60rpm');
|
||||
plot(sr_6r(:, 3), sr_6r(:, 1), 'DisplayName', '6rpm');
|
||||
plot(sr_on(:, 3), sr_on(:, 1), 'DisplayName', 'ON');
|
||||
plot(sr_off(:, 3), sr_off(:, 1), 'DisplayName', 'OFF');
|
||||
hold off;
|
||||
xlabel('Time [s]'); ylabel('Voltage [V]');
|
||||
legend('Location', 'northeast');
|
||||
|
||||
|
||||
|
||||
% #+NAME: fig:sr_direct_time
|
||||
% #+CAPTION: Direct measurement
|
||||
% #+RESULTS: fig:sr_direct_time
|
||||
% [[file:figs/sr_direct_time.png]]
|
||||
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(sr_60r(:, 3), sr_60r(:, 2), 'DisplayName', '60rpm');
|
||||
plot(sr_6r(:, 3), sr_6r(:, 2), 'DisplayName', '6rpm');
|
||||
plot(sr_on(:, 3), sr_on(:, 2), 'DisplayName', 'ON');
|
||||
plot(sr_off(:, 3), sr_off(:, 2), 'DisplayName', 'OFF');
|
||||
hold off;
|
||||
xlabel('Time [s]'); ylabel('Voltage [V]');
|
||||
legend('Location', 'northeast');
|
||||
|
||||
% Frequency Domain
|
||||
% We first compute some parameters that will be used for the PSD computation.
|
||||
|
||||
dt = sr_off(2, 3)-sr_off(1, 3);
|
||||
|
||||
Fs = 1/dt; % [Hz]
|
||||
|
||||
win = hanning(ceil(10*Fs));
|
||||
|
||||
|
||||
|
||||
% Then we compute the Power Spectral Density using =pwelch= function.
|
||||
|
||||
[pxdir, f] = pwelch(sr_off(:, 1), win, [], [], Fs);
|
||||
[pxoff, ~] = pwelch(sr_off(:, 2), win, [], [], Fs);
|
||||
[pxon, ~] = pwelch(sr_on(:, 2), win, [], [], Fs);
|
||||
[px6r, ~] = pwelch(sr_6r(:, 2), win, [], [], Fs);
|
||||
[px60r, ~] = pwelch(sr_60r(:, 2), win, [], [], Fs);
|
||||
|
||||
|
||||
|
||||
% And we plot the ASD of the measured signals (figure [[fig:sr_psd_compare]]);
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(f, sqrt(pxoff), 'DisplayName', 'OFF');
|
||||
plot(f, sqrt(pxon), 'DisplayName', 'ON');
|
||||
plot(f, sqrt(px6r), 'DisplayName', '6rpm');
|
||||
plot(f, sqrt(px60r), 'DisplayName', '60rpm');
|
||||
plot(f, sqrt(pxdir), 'k-', 'DisplayName', 'Direct');
|
||||
hold off;
|
||||
set(gca, 'xscale', 'log');
|
||||
set(gca, 'yscale', 'log');
|
||||
xlabel('Frequency [Hz]'); ylabel('ASD of the measured Voltage $\left[\frac{V}{\sqrt{Hz}}\right]$')
|
||||
legend('Location', 'northeast');
|
||||
xlim([0.1, 500]);
|
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@ -64,10 +64,7 @@ We determine if the slip-ring add some noise to the signal when it is turning:
|
||||
#+end_note
|
||||
|
||||
** Measurement Description
|
||||
*Goal*:
|
||||
The goal is to determine if the signal is altered when the spindle is rotating.
|
||||
|
||||
|
||||
*** Setup :ignore:
|
||||
*Setup*:
|
||||
Random Signal is generated by one SpeedGoat DAC.
|
||||
|
||||
@ -77,7 +74,11 @@ The signal going out of the DAC is split into two:
|
||||
|
||||
All the stages are turned OFF except the Slip-Ring.
|
||||
|
||||
*** Goal :ignore:
|
||||
*Goal*:
|
||||
The goal is to determine if the signal is altered when the spindle is rotating.
|
||||
|
||||
*** Measurements :ignore:
|
||||
*Measurements*:
|
||||
| Data File | Description |
|
||||
|--------------------+------------------------------|
|
||||
|
@ -1,48 +0,0 @@
|
||||
%% Clear Workspace and Close figures
|
||||
clear; close all; clc;
|
||||
|
||||
%% Intialize Laplace variable
|
||||
s = zpk('s');
|
||||
|
||||
% Load data
|
||||
% We load the data of the z axis of two geophones.
|
||||
|
||||
|
||||
meas_sr = load('mat/data_018.mat', 'data'); meas_sr = meas_sr.data;
|
||||
meas_di = load('mat/data_019.mat', 'data'); meas_di = meas_di.data;
|
||||
|
||||
% Analysis - Time Domain
|
||||
% First, we compare the time domain signals for the two experiments (figure [[fig:slipring_time]]).
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(meas_di(:, 3), meas_di(:, 2), 'DisplayName', 'Geophone - Direct');
|
||||
plot(meas_sr(:, 3), meas_sr(:, 2), 'DisplayName', 'Geophone - Slip-Ring');
|
||||
hold off;
|
||||
xlabel('Time [s]'); ylabel('Voltage [V]');
|
||||
xlim([0, 50]);
|
||||
legend('location', 'northeast');
|
||||
|
||||
% Analysis - Frequency Domain
|
||||
% We then compute the Power Spectral Density of the two signals and we compare them (figure [[fig:slipring_asd]]).
|
||||
|
||||
|
||||
dt = meas_di(2, 3) - meas_di(1, 3);
|
||||
Fs = 1/dt;
|
||||
|
||||
win = hanning(ceil(5*Fs));
|
||||
|
||||
[px_di, f] = pwelch(meas_di(:, 2), win, [], [], Fs);
|
||||
[px_sr, ~] = pwelch(meas_sr(:, 2), win, [], [], Fs);
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(f, sqrt(px_sr), 'DisplayName', 'Slip-Ring');
|
||||
plot(f, sqrt(px_di), 'DisplayName', 'Wire');
|
||||
hold off;
|
||||
set(gca, 'xscale', 'log');
|
||||
set(gca, 'yscale', 'log');
|
||||
xlabel('Frequency [Hz]'); ylabel('Amplitude Spectral Density $\left[\frac{V}{\sqrt{Hz}}\right]$')
|
||||
xlim([1, 500]);
|
||||
legend('Location', 'southwest');
|
109
slip-ring-noise-turning/matlab/meas_slip_ring_lpf.m
Normal file
@ -0,0 +1,109 @@
|
||||
%% Clear Workspace and Close figures
|
||||
clear; close all; clc;
|
||||
|
||||
%% Intialize Laplace variable
|
||||
s = zpk('s');
|
||||
|
||||
% Load data
|
||||
% We load the data of the z axis of two geophones.
|
||||
|
||||
sr_of = load('mat/data_030.mat', 'data'); sr_of = sr_of.data;
|
||||
sr_on = load('mat/data_031.mat', 'data'); sr_on = sr_on.data;
|
||||
sr_6r = load('mat/data_032.mat', 'data'); sr_6r = sr_6r.data;
|
||||
sr_60 = load('mat/data_033.mat', 'data'); sr_60 = sr_60.data;
|
||||
|
||||
% Time Domain
|
||||
% We plot the time domain data for the direct measurement (figure [[fig:sr_direct_1khz_time]]) and for the signal going through the slip-ring (figure [[fig:sr_slipring_1khz_time]]);
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(sr_60(:, 3), sr_60(:, 1), 'DisplayName', '60rpm');
|
||||
plot(sr_6r(:, 3), sr_6r(:, 1), 'DisplayName', '6rpm');
|
||||
plot(sr_on(:, 3), sr_on(:, 1), 'DisplayName', 'ON');
|
||||
plot(sr_of(:, 3), sr_of(:, 1), 'DisplayName', 'OFF');
|
||||
hold off;
|
||||
xlabel('Time [s]'); ylabel('Voltage [V]');
|
||||
xlim([0, 100]);
|
||||
legend('Location', 'northeast');
|
||||
|
||||
|
||||
|
||||
% #+NAME: fig:sr_direct_1khz_time
|
||||
% #+CAPTION: Direct measurement
|
||||
% #+RESULTS: fig:sr_direct_1khz_time
|
||||
% [[file:figs/sr_direct_1khz_time.png]]
|
||||
|
||||
|
||||
xlim([0, 0.2]); ylim([-2e-3, 2e-3]);
|
||||
|
||||
|
||||
|
||||
% #+NAME: fig:sr_direct_1khz_time_zoom
|
||||
% #+CAPTION: Direct measurement - Zoom
|
||||
% #+RESULTS: fig:sr_direct_1khz_time_zoom
|
||||
% [[file:figs/sr_direct_1khz_time_zoom.png]]
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(sr_60(:, 3), sr_60(:, 2), 'DisplayName', '60rpm');
|
||||
plot(sr_6r(:, 3), sr_6r(:, 2), 'DisplayName', '6rpm');
|
||||
plot(sr_on(:, 3), sr_on(:, 2), 'DisplayName', 'ON');
|
||||
plot(sr_of(:, 3), sr_of(:, 2), 'DisplayName', 'OFF');
|
||||
hold off;
|
||||
xlabel('Time [s]'); ylabel('Voltage [V]');
|
||||
xlim([0, 100]);
|
||||
legend('Location', 'northeast');
|
||||
|
||||
% Frequency Domain - Direct Signal
|
||||
% We first compute some parameters that will be used for the PSD computation.
|
||||
|
||||
dt = sr_of(2, 3)-sr_of(1, 3);
|
||||
|
||||
Fs = 1/dt; % [Hz]
|
||||
|
||||
win = hanning(ceil(10*Fs));
|
||||
|
||||
|
||||
|
||||
% Then we compute the Power Spectral Density using =pwelch= function.
|
||||
|
||||
[px_d_of, f] = pwelch(sr_of(:, 1), win, [], [], Fs);
|
||||
[px_d_on, ~] = pwelch(sr_on(:, 1), win, [], [], Fs);
|
||||
[px_d_6r, ~] = pwelch(sr_6r(:, 1), win, [], [], Fs);
|
||||
[px_d_60, ~] = pwelch(sr_60(:, 1), win, [], [], Fs);
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(f, sqrt(px_d_of), 'DisplayName', 'OFF');
|
||||
plot(f, sqrt(px_d_on), 'DisplayName', 'ON');
|
||||
plot(f, sqrt(px_d_6r), 'DisplayName', '6rpm');
|
||||
plot(f, sqrt(px_d_60), 'DisplayName', '60rpm');
|
||||
hold off;
|
||||
set(gca, 'xscale', 'log');
|
||||
set(gca, 'yscale', 'log');
|
||||
xlabel('Frequency [Hz]'); ylabel('ASD of the measured Voltage $\left[\frac{V}{\sqrt{Hz}}\right]$')
|
||||
legend('Location', 'northeast');
|
||||
xlim([0.1, 5000]);
|
||||
|
||||
% Frequency Domain - Slip-Ring Signal
|
||||
|
||||
[px_sr_of, f] = pwelch(sr_of(:, 2), win, [], [], Fs);
|
||||
[px_sr_on, ~] = pwelch(sr_on(:, 2), win, [], [], Fs);
|
||||
[px_sr_6r, ~] = pwelch(sr_6r(:, 2), win, [], [], Fs);
|
||||
[px_sr_60, ~] = pwelch(sr_60(:, 2), win, [], [], Fs);
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(f, sqrt(px_sr_of), 'DisplayName', 'OFF');
|
||||
plot(f, sqrt(px_sr_on), 'DisplayName', 'ON');
|
||||
plot(f, sqrt(px_sr_6r), 'DisplayName', '6rpm');
|
||||
plot(f, sqrt(px_sr_60), 'DisplayName', '60rpm');
|
||||
plot(f, sqrt(px_d_of), '-k', 'DisplayName', 'Direct');
|
||||
hold off;
|
||||
set(gca, 'xscale', 'log');
|
||||
set(gca, 'yscale', 'log');
|
||||
xlabel('Frequency [Hz]'); ylabel('ASD of the measured Voltage $\left[\frac{V}{\sqrt{Hz}}\right]$')
|
||||
legend('Location', 'northeast');
|
||||
xlim([0.1, 5000]);
|
@ -1,250 +0,0 @@
|
||||
%% Clear Workspace and Close figures
|
||||
clear; close all; clc;
|
||||
|
||||
%% Intialize Laplace variable
|
||||
s = zpk('s');
|
||||
|
||||
% Load data
|
||||
% We load the data of the z axis of two geophones.
|
||||
|
||||
sr_off = load('mat/data_012.mat', 'data'); sr_off = sr_off.data;
|
||||
sr_on = load('mat/data_013.mat', 'data'); sr_on = sr_on.data;
|
||||
|
||||
% Time Domain
|
||||
% We compare the signal when the Slip-Ring is OFF (figure [[fig:sr_geophone_time_off]]) and when it is ON (figure [[fig:sr_geophone_time_on]]).
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(sr_off(:, 3), sr_off(:, 1), 'DisplayName', 'Direct');
|
||||
plot(sr_off(:, 3), sr_off(:, 2), 'DisplayName', 'Slip-Ring');
|
||||
hold off;
|
||||
legend('Location', 'northeast');
|
||||
xlabel('Time [s]');
|
||||
ylabel('Voltage [V]');
|
||||
|
||||
|
||||
|
||||
% #+NAME: fig:sr_geophone_time_off
|
||||
% #+CAPTION: Comparison of the time domain signals when the slip-ring is OFF
|
||||
% #+RESULTS: fig:sr_geophone_time_off
|
||||
% [[file:figs/sr_geophone_time_off.png]]
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(sr_on(:, 3), sr_on(:, 1), 'DisplayName', 'Direct');
|
||||
plot(sr_on(:, 3), sr_on(:, 2), 'DisplayName', 'Slip-Ring');
|
||||
hold off;
|
||||
legend('Location', 'northeast');
|
||||
xlabel('Time [s]');
|
||||
ylabel('Voltage [V]');
|
||||
|
||||
% Frequency Domain
|
||||
% We first compute some parameters that will be used for the PSD computation.
|
||||
|
||||
dt = sr_off(2, 3)-sr_off(1, 3);
|
||||
|
||||
Fs = 1/dt; % [Hz]
|
||||
|
||||
win = hanning(ceil(10*Fs));
|
||||
|
||||
|
||||
|
||||
% Then we compute the Power Spectral Density using =pwelch= function.
|
||||
|
||||
% Direct measure
|
||||
[pxdoff, ~] = pwelch(sr_off(:, 1), win, [], [], Fs);
|
||||
[pxdon, ~] = pwelch(sr_on(:, 1), win, [], [], Fs);
|
||||
|
||||
% Slip-Ring measure
|
||||
[pxsroff, f] = pwelch(sr_off(:, 2), win, [], [], Fs);
|
||||
[pxsron, ~] = pwelch(sr_on(:, 2), win, [], [], Fs);
|
||||
|
||||
|
||||
|
||||
% Finally, we compare the Amplitude Spectral Density of the signals (figure [[fig:sr_geophone_asd]]);
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(f, sqrt(pxdoff), 'DisplayName', 'Direct - OFF');
|
||||
plot(f, sqrt(pxsroff), 'DisplayName', 'Slip-Ring - OFF');
|
||||
plot(f, sqrt(pxdon), 'DisplayName', 'Direct - ON');
|
||||
plot(f, sqrt(pxsron), 'DisplayName', 'Slip-Ring - ON');
|
||||
hold off;
|
||||
set(gca, 'xscale', 'log');
|
||||
set(gca, 'yscale', 'log');
|
||||
xlabel('Frequency [Hz]'); ylabel('ASD of the measured Voltage $\left[\frac{V}{\sqrt{Hz}}\right]$')
|
||||
legend('Location', 'northeast');
|
||||
xlim([0.1, 500]);
|
||||
|
||||
|
||||
|
||||
% #+NAME: fig:sr_geophone_asd
|
||||
% #+CAPTION: Comparison of the Amplitude Spectral Sensity
|
||||
% #+RESULTS: fig:sr_geophone_asd
|
||||
% [[file:figs/sr_geophone_asd.png]]
|
||||
|
||||
|
||||
xlim([100, 500]);
|
||||
|
||||
% Load data
|
||||
% We load the data of the z axis of two geophones.
|
||||
|
||||
sr_lpf_off = load('mat/data_016.mat', 'data'); sr_lpf_off = sr_lpf_off.data;
|
||||
sr_lpf_on = load('mat/data_017.mat', 'data'); sr_lpf_on = sr_lpf_on.data;
|
||||
|
||||
% Time Domain
|
||||
% We compare the signal when the Slip-Ring is OFF (figure [[fig:sr_lpf_geophone_time_off]]) and when it is ON (figure [[fig:sr_lpf_geophone_time_on]]).
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(sr_lpf_off(:, 3), sr_lpf_off(:, 1)-mean(sr_lpf_off(:, 1)), 'DisplayName', 'Direct');
|
||||
plot(sr_lpf_off(:, 3), sr_lpf_off(:, 2)-mean(sr_lpf_off(:, 2)), 'DisplayName', 'Slip-Ring');
|
||||
hold off;
|
||||
xlim([0, 100]); ylim([-1, 1]);
|
||||
legend('Location', 'northeast');
|
||||
xlabel('Time [s]');
|
||||
ylabel('Voltage [V]');
|
||||
|
||||
|
||||
|
||||
% #+NAME: fig:sr_lpf_geophone_time_off
|
||||
% #+CAPTION: Comparison of the time domain signals when the slip-ring is OFF
|
||||
% #+RESULTS: fig:sr_lpf_geophone_time_off
|
||||
% [[file:figs/sr_lpf_geophone_time_off.png]]
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(sr_lpf_on(:, 3), sr_lpf_on(:, 1)-mean(sr_lpf_on(:, 1)), 'DisplayName', 'Direct');
|
||||
plot(sr_lpf_on(:, 3), sr_lpf_on(:, 2)-mean(sr_lpf_on(:, 2)), 'DisplayName', 'Slip-Ring');
|
||||
hold off;
|
||||
xlim([0, 100]); ylim([-1, 1]);
|
||||
legend('Location', 'northeast');
|
||||
xlabel('Time [s]');
|
||||
ylabel('Voltage [V]');
|
||||
|
||||
% Frequency Domain
|
||||
% We first compute some parameters that will be used for the PSD computation.
|
||||
|
||||
dt = sr_lpf_off(2, 3)-sr_lpf_off(1, 3);
|
||||
|
||||
Fs = 1/dt; % [Hz]
|
||||
|
||||
win = hanning(ceil(10*Fs));
|
||||
|
||||
|
||||
|
||||
% Then we compute the Power Spectral Density using =pwelch= function.
|
||||
|
||||
% Direct measure
|
||||
[pxd_lpf_off, ~] = pwelch(sr_lpf_off(:, 1), win, [], [], Fs);
|
||||
[pxd_lpf_on, ~] = pwelch(sr_lpf_on(:, 1), win, [], [], Fs);
|
||||
|
||||
% Slip-Ring measure
|
||||
[pxsr_lpf_off, f] = pwelch(sr_lpf_off(:, 2), win, [], [], Fs);
|
||||
[pxsr_lpf_on, ~] = pwelch(sr_lpf_on(:, 2), win, [], [], Fs);
|
||||
|
||||
|
||||
|
||||
% Finally, we compare the Amplitude Spectral Density of the signals (figure [[fig:sr_lpf_geophone_asd]]);
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(f, sqrt(pxd_lpf_off), 'DisplayName', 'Direct - OFF');
|
||||
plot(f, sqrt(pxsr_lpf_off), 'DisplayName', 'Slip-Ring - OFF');
|
||||
plot(f, sqrt(pxd_lpf_on), 'DisplayName', 'Direct - ON');
|
||||
plot(f, sqrt(pxsr_lpf_on), 'DisplayName', 'Slip-Ring - ON');
|
||||
hold off;
|
||||
xlim([0.1, 500]);
|
||||
set(gca, 'xscale', 'log'); set(gca, 'yscale', 'log');
|
||||
xlabel('Frequency [Hz]'); ylabel('ASD of the measured Voltage $\left[\frac{V}{\sqrt{Hz}}\right]$')
|
||||
legend('Location', 'southwest');
|
||||
|
||||
|
||||
|
||||
% #+NAME: fig:sr_lpf_geophone_asd
|
||||
% #+CAPTION: Comparison of the Amplitude Spectral Sensity
|
||||
% #+RESULTS: fig:sr_lpf_geophone_asd
|
||||
% [[file:figs/sr_lpf_geophone_asd.png]]
|
||||
|
||||
|
||||
xlim([100, 500]);
|
||||
|
||||
% Load data
|
||||
% We load the data of the z axis of two geophones.
|
||||
|
||||
sr_lpf_1khz_of = load('mat/data_035.mat', 'data'); sr_lpf_1khz_of = sr_lpf_1khz_of.data;
|
||||
sr_lpf_1khz_on = load('mat/data_036.mat', 'data'); sr_lpf_1khz_on = sr_lpf_1khz_on.data;
|
||||
|
||||
% Time Domain
|
||||
% We compare the signal when the Slip-Ring is OFF (figure [[fig:sr_lpf_1khz_geophone_time_off]]) and when it is ON (figure [[fig:sr_lpf_1khz_geophone_time_on]]).
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(sr_lpf_1khz_of(:, 3), sr_lpf_1khz_of(:, 1)-mean(sr_lpf_1khz_of(:, 1)), 'DisplayName', 'Direct');
|
||||
plot(sr_lpf_1khz_of(:, 3), sr_lpf_1khz_of(:, 2)-mean(sr_lpf_1khz_of(:, 2)), 'DisplayName', 'Slip-Ring');
|
||||
hold off;
|
||||
xlim([0, 100]); ylim([-1, 1]);
|
||||
legend('Location', 'northeast');
|
||||
xlabel('Time [s]'); ylabel('Voltage [V]');
|
||||
|
||||
|
||||
|
||||
% #+NAME: fig:sr_lpf_1khz_geophone_time_off
|
||||
% #+CAPTION: Comparison of the time domain signals when the slip-ring is OFF
|
||||
% #+RESULTS: fig:sr_lpf_1khz_geophone_time_off
|
||||
% [[file:figs/sr_lpf_1khz_geophone_time_off.png]]
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(sr_lpf_1khz_on(:, 3), sr_lpf_1khz_on(:, 1)-mean(sr_lpf_1khz_on(:, 1)), 'DisplayName', 'Direct');
|
||||
plot(sr_lpf_1khz_on(:, 3), sr_lpf_1khz_on(:, 2)-mean(sr_lpf_1khz_on(:, 2)), 'DisplayName', 'Slip-Ring');
|
||||
hold off;
|
||||
xlim([0, 100]); ylim([-1, 1]);
|
||||
legend('Location', 'northeast');
|
||||
xlabel('Time [s]'); ylabel('Voltage [V]');
|
||||
|
||||
% Frequency Domain
|
||||
% We first compute some parameters that will be used for the PSD computation.
|
||||
|
||||
dt = sr_lpf_1khz_of(2, 3)-sr_lpf_1khz_of(1, 3);
|
||||
|
||||
Fs = 1/dt; % [Hz]
|
||||
|
||||
win = hanning(ceil(10*Fs));
|
||||
|
||||
|
||||
|
||||
% Then we compute the Power Spectral Density using =pwelch= function.
|
||||
|
||||
% Direct measure
|
||||
[pxdi_lpf_1khz_of, f] = pwelch(sr_lpf_1khz_of(:, 1), win, [], [], Fs);
|
||||
[pxdi_lpf_1khz_on, ~] = pwelch(sr_lpf_1khz_on(:, 1), win, [], [], Fs);
|
||||
|
||||
% Slip-Ring measure
|
||||
[pxsr_lpf_1khz_of, ~] = pwelch(sr_lpf_1khz_of(:, 2), win, [], [], Fs);
|
||||
[pxsr_lpf_1khz_on, ~] = pwelch(sr_lpf_1khz_on(:, 2), win, [], [], Fs);
|
||||
|
||||
|
||||
|
||||
% Finally, we compare the Amplitude Spectral Density of the signals (figure [[fig:sr_lpf_1khz_geophone_asd]]);
|
||||
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(f, sqrt(pxdi_lpf_1khz_of), 'DisplayName', 'Direct - OFF');
|
||||
plot(f, sqrt(pxsr_lpf_1khz_of), 'DisplayName', 'Slip-Ring - OFF');
|
||||
plot(f, sqrt(pxdi_lpf_1khz_on), 'DisplayName', 'Direct - ON');
|
||||
plot(f, sqrt(pxsr_lpf_1khz_on), 'DisplayName', 'Slip-Ring - ON');
|
||||
hold off;
|
||||
xlim([0.1, 500]);
|
||||
set(gca, 'xscale', 'log'); set(gca, 'yscale', 'log');
|
||||
xlabel('Frequency [Hz]'); ylabel('ASD of the measured Voltage $\left[\frac{V}{\sqrt{Hz}}\right]$')
|
||||
legend('Location', 'southwest');
|