In Simcenter Testlab 2019.1, the coupled cursor functionality and the processing cursor functionality are now combined into a coupled processing cursor!
When more than one picture in a plot has the same axis unit, it is possible to add a coupled cursor.
After coupled cursors are added, processing can be done on the cursors. As the coupled cursors move, the processing will update.
Figure 1: Coupled processing cursor.
How to add a coupled processing cursor:
For example, two waterfalls are displayed below.
The both have units of RPM vs frequency vs pressure.
Figure 2: A coupled cursor can be applied to two plots that have common units.
To add a coupled cursor, right click on the plot, select “Add Coupled Cursor”. The units available will match the units that are compatible between the plots. In this case frequency, RPM, and pressure.
On colormaps, there is also the option to add a coupled order cursor.
Figure 3: Right click and select “Add Coupled Cursor” to view which types of coupled cursors can be added.
The coupled cursor (in this case, an order cursor) is added to all applicable plots.
To do coupled processing, right click on each cursor and select “Processing”.
Then drop each processing block in to a display.
Figure 4: Right click on the cursor and select “Processing”. Drag the processed block in to the display. Repeat this for each desired block.
Note that you must open the processing block for each cursor individually.
Now move the coupled processing cursor around to see all processed blocks update in the display!
Figure 5: The displays will update as the coupled cursor is moved.
Note that it can be visually beneficial to turn on hatching. Right click on the y-axis of the front-back display. Then select “Hatching -> Hatched or Solid”.
Figure 6: Right click on the y-axis to turn on hatching.
Hatching will fill the space between the curves with color. Which ever curve has the higher amplitude at a particular x-axis value will determine the color of the hatching.
This allows for quick and easy visual inspection of the data.
Figure 7: Hatching provides a quick visual representation for which value is higher at a particular x-axis value.