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# Frequency domain and time-frequency domain for sae data

조회 수: 8(최근 30일)
Sameer Sayyad 2021년 5월 13일
댓글: Star Strider 2021년 5월 20일 16:56
% clear window
clc;
clear all;
% import xls or csv file
axial_Depth_1 = readtable('E:Variable axial cutting depth\1');
% fz: feed per tooth= 0.03 ; n: spindle speed= 1200; ap: axial cutting depth=1; ae: radial cutting depth=3.0
% extract data in respective sensors sensors
Cutting_force1= axial_Depth_1 (:,1:4);
% set sampling frequency for each sensor data
fz_force= 600;
L= 27900; % Total sample data points
%Timestamp for each sensor data signal based on sampling rate
%Ts_force= (0:L-1)*1/fz % To create time span data based on frequency
Ts_force= (0:L-1)*1/fz_force;
Ts_force= Ts_force'; % To transform rows into colomn
% Add Ts_force to Cutting force table
Cutting_force1 = addvars(Cutting_force1,Ts_force,'After','Torsion_Z');
Cutting_force1= head(Cutting_force1,27900);
%Plot cutting force data with respect to time (time-series data)
%Plot 1 Axial cutting force Vs. Time
figure(5);
%subplot (1,2,1)
plot(Cutting_force1.Ts_force,Cutting_force1.Axial_force, 'b');
title('Cutting forces for Variable Depath of cut (ap=1)'); grid on
xlabel('Time (Ts force)')
ylabel('Axial force in N')
I have done this much part till time domain graph. Please help me out to plot frequency domain graph and time- frequency domain graph.
Thanks in advance.
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Star Strider 2021년 5월 20일 16:56
As always, my pleasdure!

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### 채택된 답변

Star Strider 2021년 5월 13일
The pspectrum function can likely help with this, specifically with respect to the time-frequency plot.
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Star Strider 2021년 5월 13일
My pleasure!

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