Deleted some mat files, finished the slip of the slip-ring measures

slip-ring-electrical-noise/index.org

@@ -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

slip-ring-electrical-noise/matlab/meas_effect_sr.m

@@ -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])

slip-ring-electrical-noise/matlab/meas_slip_ring.m

@@ -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]);