Derotated Microphone Array Data for Aeroacoustic Source Mapping of an Axial Fan – Acoular Workshop Supplementary Material

This dataset contains pre-processed microphone array time signals from the FAN-01 benchmark derotated using the mode-time domain Virtual Rotating Array (VRA-M) method. The VRA-M method compensates for the fan's rotational motion, enabling spatial separation of individual source contributions using frequency-domain microphone array methods. The resulting derotated time signals are stored in HDF5 format. Details on the measurement setup and evaluation using the Acoular framework is given in the preprint.pdf How to Use: The data supplements the presentation and publication An Interactive Tutorial on Advanced Microphone Array Methods for Acoustic Source Mapping, which was held at DAS | DAGA 2025 in Copenhagen. The presentation can be found here. One can use the Acoular Python framework to load and process the dataset. Example code for loading the data is provided below: import acoular as ac vra_time_data = ac.TimeSamples(file='2015-08-12_16-55-10_n1ug_no_grid_1_4_derotated.h5') mics = ac.MicGeom(file='ring64.xml')