Aeroacoustic source localization using the microphone array method with application to wind turbine noise-Reference-Cited by-同舟云学术

Aeroacoustic source localization using the microphone array method with application to wind turbine noise

Published:2024-06-02 Issue:5-6 Volume:23 Page:533-557
ISSN:1475-472X
Container-title:International Journal of Aeroacoustics
language:en
Short-container-title:International Journal of Aeroacoustics

Author:

Xue Weicheng¹²^ORCID,Yang Bing²

Affiliation:

1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

2. Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, China

Abstract

The deconvolution DAMAS algorithm can effectively eliminate the misconceptions in the usually-used beamforming localization algorithm, allowing for a more accurate calculation of the source location as well as the intensity. When solving a linear system of equations, the DAMAS algorithm takes into account the mutual influence of different locations, reducing or even eliminating sidelobes and producing more accurate results. This work first introduces the principles of the DAMAS algorithm. Then it applies both the conventional beamforming algorithm and the DAMAS algorithm to simulate the localization of a single-frequency source from a 1.5 MW wind turbine, a complex line source with the text “UCAS” and a line source downstream of an airfoil trailing edge. Finally, the work presents experimental localization results of the source of a 1.5 MW wind turbine using both the conventional beamforming algorithm and the DAMAS algorithm.

Publisher

SAGE Publications

Link

https://journals.sagepub.com/doi/pdf/10.1177/1475472X241259122

Reference21 articles.

1. Noise pollution from wind turbines and its effects on wildlife: A cross-national analysis of current policies and planning regulations

2. A review of acoustic imaging methods using phased microphone arrays

3. Faszer A, Hynes T, Blaabjerg C, et al. Acoustic beamforming and holography measurements of modified boundary layer trailing-edge noise. In: 12th AIAA/CEAS aeroacoustics conference (27th AIAA aeroacoustics conference), 4 June - 7 June 2024, Rome, Italy, p. 2566.