Breakdown of propeller aircraft noise by applying conventional beamforming jointly with imaging using the rotating source identifier

B. von den Hoff*, D.G. Simons, M. Snellen

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

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Full-scale propeller measurements are useful to study the total noise contribution of a propeller-driven aircraft, including installation effects. Full-scale measurements under operational conditions also provide an accurate validation opportunity for propeller noise prediction models. These studies are, therefore, necessary to quantify and reduce the noise annoyance of propeller-driven aircraft. For propeller aircraft, rotating sources need to be considered. In this research, propeller noise is studied for a full-scale propeller using an acoustic microphone array. The acoustic imaging techniques used are Conventional Frequency-Domain or Time-Domain Beamforming for the stationary noise sources and the ROtating Source Identifier for the rotating noise sources. By applying these two acoustic imaging methods simultaneously, in addition to filtering in the spatial and frequency domain, also filtering in the source velocity domain can be exploited. These methods were applied to an engine run-up of a Pipistrel Velis Electro, the first fully-electric certified aircraft.
This electric aircraft, placed on the ground, allows for an initial study on the present noise sources and their relative contributions. Ultimately, this information can be used to separate the measured spectrum into spectra of different noise components which in turn can be used for full-scale validation and improvement of propeller noise prediction models.
Original languageEnglish
Title of host publication9th Berlin Beamforming Conference 2022
EditorsD Döbler
Number of pages14
Publication statusPublished - 2022
Event9th Berlin Beamforming Conference - Berlin, Germany
Duration: 9 Jun 202210 Jun 2022
Conference number: 9


Conference9th Berlin Beamforming Conference
Abbreviated titleBeBeC 2022


  • Propeller niose
  • Microphone array
  • Acoustic imaging


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