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Title

Comparison of Microphone Array Methods for the Characterization of Rotating Broadband Noise Sources


Topic

Experimental Methods for Localizing / Characterizing Sources


Authors

OCKER Christof
Aalen University

Aalen - Germany
christof.ocker@hs-aalen.de
HEROLD Gert
Technische Universität Berlin

Berlin - Germany
gert.herold@tu-berlin.de
KRÖMER Florian
Friedrich-Alexander University Erlangen-Nürnberg

Erlangen - Germany
ze@ipat.fau.de
PANNERT Wolfram
Aalen University

Aalen - Germany
wolfram.pannert@hs-aalen.de
SARRADJ Ennes
Technische Universität Berlin

Berlin - Germany
ennes.sarradj@tu-berlin.de
BECKER Stefan
Friedrich-Alexander University Erlangen-Nürnberg

Erlangen - Germany
sb@ipat.fau.de

Abstract

The localization of rotating sound sources with a microphone array is a major task to reduce broadband axial fan noise. Depending on the adjusted operating point and considered frequency band, the sound sources are located on the leading or trailing edges of the fan blades. Considerable effort has been put into compensating the relative motion of the sound sources to the microphone array and to understand the rotating sound source mechanism. Motion compensation can be done in time domain or frequency domain. In the time domain, the emitted signals from the moving sources are reconstructed by continuously moving the focus of the microphone array along the rotational motion, taking into account the time delays and the Doppler effect due to the rotation. In the frequency domain, the signals are first Fourier transformed. Afterwards, the resulting cross spectral matrix is multiplied with the steering vectors to shift the phase of the microphone signals according to the focus points. Motion compensation in the frequency domain can be done in different ways, e.g. employing virtual rotating microphones to transform the pressure signals into a rotating reference frame or modal decomposition of the rotating sound field.
After motion compensation, beamforming is used to localize the sound sources. For some standard and high-resolution beamforming methods, the cross spectral matrix is needed. The cross spectral matrix can be calculated in the time domain with Welch’s method or in the frequency domain with Daniell’s method.
This paper contains a comparison of the results of different methods for motion compensation. At first, a simulated benchmark case with discrete rotating sound sources is considered. The evaluation is done with respect to the correct estimation of the source position and source amplitude. Based on these findings, recommendations of the number of microphones to be used for actual measurements on rotating systems are given. In a second case, a benchmark fan is analyzed for different frequency bands to compare the source distribution and source amplitudes. Advantages, disadvantages and limits of the considered methods are shown.