A Comparison of Frequency-Domain Microphone Array Methods for the Characterization of Rotating Broadband Noise Sources

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autor(en): Ocker C, Herold G, Krömer F, Pannert W, Sarradj E, Becker S
Zeitschrift: Acta Acustica United With Acustica
Jahr der Veröffentlichung: 2019
Band: 105
Heftnummer: 1
Seitenbereich: 66-74
ISSN: 1610-1928


Abstract

The localization and quantification of rotating sound sources is an important challenge in many fields of application. For the motion compensation of rotating sound sources, the two different frequency- domain microphone array methods 'virtual rotating array' and 'modal decomposition of the rotating sound field' are presented and compared to each other. At first, a simulated benchmark case with three discrete rotating broadband sound sources and a non-constant rotational speed is considered. The challenge is the reconstruction of the correct source positions and the source amplitudes. In a second case, a benchmark fan is analyzed to compare the source distribution and source amplitudes of the considered methods. Advantages, disadvantages and limits of the respective methods are shown.


FAU-Autoren / FAU-Herausgeber

Becker, Stefan apl. Prof. Dr.
Lehrstuhl für Prozessmaschinen und Anlagentechnik
Zenger, Florian
Lehrstuhl für Prozessmaschinen und Anlagentechnik


Autor(en) der externen Einrichtung(en)
Hochschule Aalen
Technische Universität Berlin


Zitierweisen

APA:
Ocker, C., Herold, G., Krömer, F., Pannert, W., Sarradj, E., & Becker, S. (2019). A Comparison of Frequency-Domain Microphone Array Methods for the Characterization of Rotating Broadband Noise Sources. Acta Acustica United With Acustica, 105(1), 66-74. https://dx.doi.org/10.3813/AAA.919288

MLA:
Ocker, Christof, et al. "A Comparison of Frequency-Domain Microphone Array Methods for the Characterization of Rotating Broadband Noise Sources." Acta Acustica United With Acustica 105.1 (2019): 66-74.

BibTeX: 

Zuletzt aktualisiert 2019-08-03 um 08:53

Link teilen