L16 Using the RMS Wind Pressure as the Metric

There are 39 sensors, and the results produce a 17x39 matrix (the raw matrix is also available). The columns of the matrix (1 to 39) represent the sensors. The rows represent the measured L16 effects (1-16) and the noise estimate (row 17). The results are given in the correct units (Pa for the pressure sensors and m/s for the velocity sensors).

All Results
The image below is a graphical representation of the effects matrix. That is, rows in the image correspond to particular effects, while columns correspond to particular sensors. Brighter values represent stronger effects.

In this image, it is clear that the pressure sensors are more strongly affected by parameter changes than the wind velocity sensors. However, the major feature of the image is that rows 1, 2, 5, 6, 9, and 13 appear to be possibly significant. Row 1 is just the average value of the tests, so is not important, but Row 2 is the AoA, row 5 is the UVG, row 6 is the AoA/UVG interaction, row 9 is the DVG, and row 13 is the UVG/DVG interaction.

Pressure Results
The image below is a graphical representation of the effects matrix for only the pressure sensors (sensors 1-24).

SNR Results
While some effects appear to be significant in the raw analysis, it is more important to compare the values with row 17, which is the noise estimate. The image below is a graphical representation of the signal to noise ratio for each of the sensors. Another color stretch of the same image is also shown, in order to reduce the scaling effects caused by a single strong value. The results confirm the effects described above.

Normal Scaling:

Stretched to reduce scaling issues:

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