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Compressed Sensing based Radial Mode Analysis of the Broadband Sound Field in a Low-Speed Fan Test Rig

Behn, Maximilian and Pardowitz, Benjamin and Tapken, Ulf (2018) Compressed Sensing based Radial Mode Analysis of the Broadband Sound Field in a Low-Speed Fan Test Rig. 7th Berlin Beamforming Conference BeBeC, 05.-06. Mar. 2018, Berlin, Deutschland.

Full text not available from this repository.

Official URL: http://www.bebec.eu/Downloads/BeBeC2018/Papers/BeBeC-2018-D26.pdf

Abstract

A new inverse method for the radial mode analysis of the broadband sound fields in flow ducts is presented combining a Compressed Sensing approach and the eigenvalue decomposition of the sound pressure cross-spectral matrix. The Compressed Sensing method allows the accurate analysis of dominant modes by exploiting the block-structure of the radial mode spectrum and using sparse sensor arrays. The eigenvalue decomposition of the cross-spectral matrix is able to separate incoherent sound field constituents, which are sparse with respect to the in-duct modal spectrum and therefore are suitable for the Compressed Sensing approach. The application of the new method is demonstrated using measured data from a laboratory fan test-rig and the method is validated by comparison with results from a reference method using a full sensor array of 138 sensors. The method's potential to reduce the required number of sensors is evaluated by application of a reduced array with 34 sensors, by which the sound field is subsampled at high frequencies. The separation of incoherent sound field constituents by the eigenvalue decomposition is investigated in detail and its limitations are identified regarding the use of sparse arrays.

Item URL in elib:https://elib.dlr.de/126149/
Document Type:Conference or Workshop Item (Speech)
Title:Compressed Sensing based Radial Mode Analysis of the Broadband Sound Field in a Low-Speed Fan Test Rig
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Behn, MaximilianMaximilian.Behn (at) dlr.dehttps://orcid.org/0000-0001-8478-8269
Pardowitz, BenjaminBenjamin.Pardowitz (at) dlr.deUNSPECIFIED
Tapken, Ulfulf.tapken (at) dlr.deUNSPECIFIED
Date:6 March 2018
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Mode analysis, Fan broadband noise, Compressed Sensing
Event Title:7th Berlin Beamforming Conference BeBeC
Event Location:Berlin, Deutschland
Event Type:international Conference
Event Dates:05.-06. Mar. 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:propulsion systems
DLR - Research area:Aeronautics
DLR - Program:L ER - Engine Research
DLR - Research theme (Project):L - Fan and Compressor Technologies, L - Turbine Technologies
Location: Berlin-Charlottenburg
Institutes and Institutions:Institute of Propulsion Technology > Engine Acoustic
Deposited By: Behn, Maximilian
Deposited On:24 Jan 2019 09:03
Last Modified:24 Jan 2019 09:03

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