Campbell diagram default render limits

[verg1lio]

Hi all, good afternoon!

I've been trying to use ROSS for a campbell plot, but unfortunately I am not getting a proper plot. My code is the following, as an example:

# Compute and plot Campbell Diagram (Frequency vs. Speed)
speeds = np.linspace(0, 1200, 150)  # Speed range in RPM
campbell = rotor.run_campbell(speeds)

# Plot the Campbell Diagram
fig = campbell.plot(harmonics=[0.5, 1, 2, 3], frequency_range=(0, 20000))
for i in fig.data:
    try:
        i['y'] = i['y'] / 60
    except:
        pass
fig.update_yaxes(title='Natural Frequencies (HZ)', range=[0, 180])
fig.update_xaxes(title='Rotor Spin Speed (RPM)', range=[0, 11000])

and this gives the resulting plot:

So, using this as a reference example, how would I be able to calculate and plot the higher frequencies? I could not implement a solution using only inputs on the campbell plot, and it feels like there is a hardcoded limit to the frequencies being calculated.

I am probably missing something here, but atm I am really stuck.

Thanks in advance for any assistance!

[verg1lio]

The impression I have is that the code is automatically cutting the plot after the first 6 frequencies, and really couldn't find a way around it.

[jguarato]

Hi @verg1lio!

This occurs because the default value of the frequencies argument in the run_campbell method is set to 6. You can adjust this value to display higher frequency modes as needed.

[verg1lio]

Thanks a lot for the reply! Will do it now and update the thread here.

[verg1lio]

Unfortunately I am still getting an error, since the ´frequencies´ property appears to be undefined:

Short of altering the code itself, I am not seeing a way out atm.

[jguarato]

The argument frequencies should be passed when calling the run_campbell method, not when calling the plot method. For example:

campbell = rotor.run_campbell(speeds, frequencies=12)

Then, you can call:

fig = campbell.plot(harmonics=[0.5, 1, 2, 3], frequency_range=(0, 20000))

[verg1lio]

Now THAT is a beautiful Campbell!

Thank you kindly for you candour and patience @jguarato , it worked flawlessly.