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Sound Power Measurements at Radial Compressors using Compressed Sensing based Signal Processing Methods

Hurst, Jakob and Behn, Maximilian and Tapken, Ulf and Enghardt, Lars (2019) Sound Power Measurements at Radial Compressors using Compressed Sensing based Signal Processing Methods. In: Proceedings of the ASME Turbo Expo. ASME Turbo Expo 2019, 17.-21. Juni 2019, Phoenix, Arizona, USA. DOI: 10.1115/GT2019-90782

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Official URL: https://doi.org/10.1115/GT2019-90782


Two sound power measurement approaches were developped that are easy to install and have the ability to detect the dominant modal content by applying the modern signal processing method, Compressed Sensing. In General Compressed Sensing requires only few measurement positions for an exact reconstruction of sparse acoustic mode fields. For a current study we have chosen two Compressed Sensing algorithms. Each require separate sensor array arrangements and deliver different modal contents, from which the sound power can be derived. Firstly, an Azimuthal Mode Analysis is conducted by applying the Enhanced Orthogonal Matching Pursuit (EOMP) algorithm to a sound pressure measurement vector. The measurements are obtained by using a sensor ring array with optimized positions. In a subsequent step, the sound power is calculated by referring the detected azimuthal mode spectrum to a model describing the energy distribution over the radial mode content. Secondly, using the Block Orthogonal Matching Pursuit (BOMP) algorithm, the radial mode amplitudes are determined directly. This algorithm requires the sensors to be placed at optimized azimuthal and axial positions and reconstructs a set of dominant radial modes that occur in groups. With the objective to verify both methods, the newly designed and optimized arrays in combination with the aforementioned mode reconstruction algorithms are applied to a numerical data set. This data was provided by URANS simulations of a radial compressor set-up, which is an exact replication of an actual test rig located at the RWTH Aachen University. The introduced estimation methods perform well as shown by comparison with an exact and high resolution Radial Mode Analysis Method. In the near future, the presented measurement approaches will be applied in an experimental study performed at the radial compressor test rig.

Item URL in elib:https://elib.dlr.de/133475/
Document Type:Conference or Workshop Item (Speech)
Title:Sound Power Measurements at Radial Compressors using Compressed Sensing based Signal Processing Methods
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hurst, JakobTechnische Universität Berlin, Institut für Strömungsmechanik und Technische AkustikUNSPECIFIED
Behn, MaximilianMaximilian.Behn (at) dlr.dehttps://orcid.org/0000-0001-8478-8269
Tapken, UlfUlf.Tapken (at) dlr.deUNSPECIFIED
Enghardt, LarsLars.Enghardt (at) dlr.deUNSPECIFIED
Date:June 2019
Journal or Publication Title:Proceedings of the ASME Turbo Expo
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1115/GT2019-90782
Keywords:Radial compressor noise, mode analysis, Compressed Sensing, sound power
Event Title:ASME Turbo Expo 2019
Event Location:Phoenix, Arizona, USA
Event Type:international Conference
Event Dates:17.-21. Juni 2019
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
Location: Berlin-Charlottenburg
Institutes and Institutions:Institute of Propulsion Technology > Engine Acoustic
Deposited By: Behn, Maximilian
Deposited On:14 Jan 2020 12:24
Last Modified:14 Jan 2020 12:24

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