Rotor noise measurement using a directional microphone array

Author(s):  
MICHAEL MARCOLINI ◽  
THOMAS BROOKS
2013 ◽  
Author(s):  
Sylvain Favrot ◽  
Christine R. Mason ◽  
Timothy M. Streeter ◽  
Joseph G. Desloge ◽  
Gerald Kidd

1990 ◽  
Vol 88 (S1) ◽  
pp. S169-S169 ◽  
Author(s):  
W. Soede ◽  
F. A. Bilsen ◽  
A. J. Berkhout

2004 ◽  
Vol 115 (5) ◽  
pp. 2598-2598
Author(s):  
Douglas L. Jones ◽  
Michael E. Lockwood ◽  
Charissa R. Lansing ◽  
Albert S. Feng

2018 ◽  
Vol 141 ◽  
pp. 106-114 ◽  
Author(s):  
Jure Murovec ◽  
Jurij Prezelj ◽  
Luka Čurović ◽  
Tadej Novaković

Author(s):  
Ivan V. Belyaev ◽  
Victor F. Kopiev ◽  
Roman Skvortsov ◽  
Ivan Pankratov ◽  
Vladimir Titarev ◽  
...  

2018 ◽  
Vol 2018 (1) ◽  
pp. 7-16
Author(s):  
Sławomir Cieślak ◽  
Wiesław Krzymień

Abstract Gyroplanes, as ultralight aircraft, are popular transport vehicles recently. Ultralight aircraft flights take place at a low altitude – their noise is not without effect on people and nature. The localization of the sources of noise and a possibility to decrease the noise of an gyroplane are described in this paper. The rules of design and exploitation of gyroplanes do not define the limits of emitted noise. Gyroplanes are not noisy aircraft vehicles but for their silencing the knowledge about the sources and frequency range of noise is necessary. The goal of the conducted measurement was to determine the gyro-plane noise properties and the noise measurement methods. The evaluation of the noise sources was made by acoustic beamforming and the directional emission with single microphones at various engine speeds. The supplement of these tests should be the rotor noise measurement but that investigation should be performed on a special stand, on which the rotor propulsion noise would not disturb the measurement.


2021 ◽  
Vol 2021 (2) ◽  
pp. 4501-4504
Author(s):  
RADEK STRAMBERSKY ◽  
◽  
VACLAV PAVELKA ◽  
TOMAS PAWLENKA ◽  
PAVEL SURANEK ◽  
...  

This paper deals with cogeneration unit noise measurement by the acoustic camera. Noise is not only measured as the final number of sound power levels, but also its original location is determined with the use of the beamforming algorithm. The properties of the used microphone array are considered and numerically calculated as every different microphone array layout will measure with another resolution. From the frequency spectrum, the possible technical source is determined. The results of noise source visualization show the cogeneration unit case noise decreasing effect while also offering the possibilities for design improvements.


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