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Chapter3. Implementation 35 Figure 3.8: Logarithmic auto spectrum, showing miscalibrated microphones marked by black triangles. to budget constraints, this aspect was deemed more important than the recording quality of the microphones. The resulting deviation of some devices to adjacent ones is less than one dezibel, and therefore of little impact for the SODIX calcula- tion and can be further alleviated by modifying the value of σ1 in the SODIX con- figuration file to smooth the directivity of each source, as explained in Chap. 2.3.4. It has to be noted, that the miscalibration may vary depending on the day the ex- periment was carried out, as the microphones were recalibrated multiple times during the testing progress, but with little variation over the weeks. Though SODIX offers the possibility to exclude miscalibrated or defective microphones from the calculation, this option was deliberately disregarded, because it inter- feres with the comparison plot routine as the number of defective microphones is not necessarily equal for different TPs. Figure 3.9 shows the same auto spectrum as before, this time with frequency in linear scaling over relative microphone position, as this depiction emphasizes two other effect prevalent in the raw data. First, the individual microphones show a deviation in their frequency response for frequencies f 5 kHz. As the microphones are correctly calibrated for low frequencies (see Fig. 3.8), the devia- tion at high levels most likely occurs due to the poor quality of the microphones. The variance compromises the quality of the SODIX plots and results in a frayed depiction of the source directivities. The display problems are of cosmetic nature, however, and have no influence on the physical validity of the results. The distortion effect is illustrated by Fig. 3.10 for TP 317 at the 1000Hz andPDF Image | Investigation of wing installation effects on the sound field of a model jet engine
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