我正在尝试将时域的振动信号转换到频域(使用fft)来显示幅度响应。但是图表是这样显示的。你能帮我看看我哪里出了问题吗?
关于数据是往复式压缩机在时间域中的振动开始于2015年1月4日0:00:00 -15/4 1:46:00有20267行,测量duration= 60秒或1分钟,压缩机转速= 372.99152转/分数据x45=振动(m/s^2)和x52 = RPM
%% load vibration data in csv file
filename = 'data.csv';
T = readtable(filename);
T1 = T(:,1:2);
x45 = T1{:,2};
plot(T.time,T.x45);
xlabel('Time in seconds');
ylabel('Amplitude of signal');
dc3 = dsp.DCBlocker('Algorithm','Subtract mean'); % I use mean to remove dc-offset
y3 = dc3(T.x45);
%% Use FFT convert time domain signal into frequency domain
% FFT output follows complex notation (a+ib)
X45 = fft(y3); % X45 is the frequency domain representation
%% Retrieve the magnitude information from X45
X45_mag = abs(X45);
%% Retrieve the phase information from X45
X45_phase = angle(X45);
%% Frequency bins
N = length(x45);
Ts = 60; % measurement duration= 60 s or 1 minute
Fs = 1 / Ts ;
Fbins = ((0: 1/N: 1-1/N)*Fs).';
%% Plot magnitude response
helperFFT(Fbins,X45_mag,'Magnitude Response')
%% Plot phase response
helperFFT(Fbins,X45_phase,'Phase Response')
function helperFFT(bin, yVal,titleStr)
%Copyright 2014 The MathWorks, Inc
close all;clc;
figure;
plot(bin, yVal,'Color',[0,0,1],'LineWidth',1.5); box on; grid on;
xlabel('Frequency (Hz).');
if strcmp(titleStr,'Phase Response');
ylabel('Radians');
title('FFT - Phase Response');
else
ylabel('Magnitude');
title('FFT - Magnitude Response');
end时域信号:

星等谱:

相位谱:

发布于 2020-07-20 16:52:12
你的幅度谱看起来还可以,但你只需要画出谱的一半(实际信号具有复共轭对称性)。
还可以查看MATLAB函数,如periodogram,它们为您完成了大量上述工作。
https://stackoverflow.com/questions/62990883
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