elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Datenschutz | Kontakt | English
Schriftgröße: [-] Text [+]

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

Hurst, Jakob und Behn, Maximilian und Tapken, Ulf und 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, 2019-06-17 - 2019-06-21, Phoenix, Arizona, USA. doi: 10.1115/GT2019-90782.

Dieses Archiv kann nicht den Volltext zur Verfügung stellen.

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

Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/133475/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Sound Power Measurements at Radial Compressors using Compressed Sensing based Signal Processing Methods
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Hurst, JakobTechnische Universität Berlin, Institut für Strömungsmechanik und Technische AkustikNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Behn, MaximilianMaximilian.Behn (at) dlr.dehttps://orcid.org/0000-0001-8478-8269NICHT SPEZIFIZIERT
Tapken, UlfUlf.Tapken (at) dlr.dehttps://orcid.org/0000-0002-0870-1253173176302
Enghardt, LarsLars.Enghardt (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:Juni 2019
Erschienen in:Proceedings of the ASME Turbo Expo
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.1115/GT2019-90782
Status:veröffentlicht
Stichwörter:Radial compressor noise, mode analysis, Compressed Sensing, sound power
Veranstaltungstitel:ASME Turbo Expo 2019
Veranstaltungsort:Phoenix, Arizona, USA
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:17 Juni 2019
Veranstaltungsende:21 Juni 2019
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Antriebssysteme
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L ER - Engine Research
DLR - Teilgebiet (Projekt, Vorhaben):L - Verdichtertechnologien (alt)
Standort: Berlin-Charlottenburg
Institute & Einrichtungen:Institut für Antriebstechnik > Triebwerksakustik
Hinterlegt von: Behn, Maximilian
Hinterlegt am:14 Jan 2020 12:24
Letzte Änderung:05 Dez 2024 15:31

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
electronic library verwendet EPrints 3.3.12
Gestaltung Webseite und Datenbank: Copyright © Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.