SimulationData - scottcarr/wind GitHub Wiki

For the wind speed data source I used the output of the FAST simulation. See the file Test13.out. It's just a CSV file with a bunch of columns. It looks like:

Time	WindVxi	WindVyi	WindVzi	HorWndDir	VerWndDir	BldPitch2 ...	
(s)	    (m/s)	(m/s)	(m/s)	(deg)	    (deg)	    (deg)	... 
10.000	 1.313E+01	-5.167E-01	 4.897E-01	-2.254E+00	 2.134E+00	 1.308E+01	...

For the audio data, I hacked together a Python script to generate obviously good and obviously bad sample data. Try running generate_audio_data.py to see how it works.

Below is the plotted FFT of the obviously good data:

Here we see spikes at the pumping frequency (10Hz) and the excitation frequency (1000 Hz)

Below is the plotted FFT of the obviously bad data:

Here we see the spikes for the excitation frequency are spread out. This is the suppposed behavior when the blade has a crack.