spectrum analysis of wind
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reddy
el 18 de Nov. de 2013
Hello every one.
I am having Wind hourly data. Now I want to know spectral analysis of wind for cycles/day..
could any one help me out.. It would be better appreciation.
Thanks in advance.. phanindra
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Wayne King
el 18 de Nov. de 2013
Editada: Wayne King
el 18 de Nov. de 2013
If you have the Signal Processing Toolbox, you can use periodogram() to get a power spectral density estimate of the wind data in cycles/day. periodogram() is nice because it will output an appropriate frequency vector for you and confidence intervals if you desire.
I'll show you how to do that with your sampling frequency, 1 sample/hour. I'll have to simulate some data because you did not attach yours.
30 days of data:
t = 0:1:(30*24)-1;
x = 1.5*cos(2*pi*(1/24)*t)+randn(size(t)); % 1 cycle per days plus noise
[Pxx,F] = periodogram(x,rectwin(length(x)),length(x),1);
plot(F*24,10*log10(Pxx))
xlabel('Cycles/Day'); ylabel('dB');
Otherwise, you can use fft() in base MATLAB, to the same in base MATLAB, see
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Más respuestas (2)
Wayne King
el 18 de Nov. de 2013
Editada: Wayne King
el 18 de Nov. de 2013
You don't really have a lot of data here. If you just choose from 0:00 you only have 42 samples.
Even taking all the data, I don't see a strong periodicity here. You have a non-zero mean (DC component). If you remove that, there is some oscillation around 0.015 cycles/hour or 0.36 cycles/day, but your frequency resolution is just 1/55, so I wouldn't feel too confident about that (given that you had a non-zero mean). Bottom line, you need more data.
[data,txt] = xlsread('Book1.xlsx');
[Pxx,F] = periodogram(data-mean(data),[],256,1,'centered');
plot(F,Pxx)
xlabel('Cycles/hour')
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Bjorn Gustavsson
el 18 de Nov. de 2013
Have a look at the circular statistics toolbox available at the FEX: http://www.mathworks.com/matlabcentral/fileexchange/10676-circular-statistics-toolbox-directional-statistics
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