基于层次贝叶斯算法的航空发动机风扇声场重建

Q3 Earth and Planetary Sciences
Bohan Ma, Meng Wang, Mingsui Yang, Wei Ma
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引用次数: 0

摘要

飞机发动机风扇声场重构是有效降噪的关键。然而,在重建过程中使用有限数量的远场测点加剧了不适定性问题,这就需要采用正则化技术。基于层次贝叶斯的正则化方法近年来被应用于求解等效声源强度分布和重建声场。然而,以往的方法无法准确获得声源的声模态系数,而声源的声模态系数对于确定声源的辐射类型和指向性至关重要。本文提出了一种将层次贝叶斯算法应用于声场模态系数求解的声场重构方法。首先,反褶积波束形成方法得到声源位置。随后,采用层次贝叶斯算法获得声场的源模态系数,从而完成远场区域声场的重建。实验结果表明,该算法在重建远场声场方面是非常有效的。在自由场条件下,在中高频范围内,与传统方法相比,使用少量远场传声器可以显著降低平均重构误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sound field reconstruction of aero-engine fans using hierarchical Bayesian algorithms

Acoustic field reconstruction for aircraft engine fans is essential for effective noise reduction. However, the use of a limited number of far-field measurement points in the reconstruction process exacerbates the ill-posedness issues, which necessitates the adoption of regularization techniques. The hierarchical Bayesian-based regularisation method has recently been applied to solve the equivalent source intensity distribution and reconstruct the sound field. However, previous methods have failed to accurately obtain the acoustic modal coefficients of the sound source, which are essential for determining the radiation type and directivity. This paper proposes a sound field reconstruction method that applies the hierarchical Bayesian algorithm to the source modal coefficient solution. Firstly, the deconvolution beamforming method obtains the sound source position. Subsequently, the hierarchical Bayesian algorithm is employed to obtain the source modal coefficients of the sound field, thereby completing the reconstruction of the sound field in the far-field region. Experimental results indicate that the proposed algorithm is highly effective in reconstructing far-field sound fields. Under free-field conditions and in mid-high frequency ranges, the average reconstruction error can be significantly reduced by using a few far-field microphones compared to traditional methods.

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来源期刊
Aerospace Systems
Aerospace Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
1.80
自引率
0.00%
发文量
53
期刊介绍: Aerospace Systems provides an international, peer-reviewed forum which focuses on system-level research and development regarding aeronautics and astronautics. The journal emphasizes the unique role and increasing importance of informatics on aerospace. It fills a gap in current publishing coverage from outer space vehicles to atmospheric vehicles by highlighting interdisciplinary science, technology and engineering. Potential topics include, but are not limited to: Trans-space vehicle systems design and integration Air vehicle systems Space vehicle systems Near-space vehicle systems Aerospace robotics and unmanned system Communication, navigation and surveillance Aerodynamics and aircraft design Dynamics and control Aerospace propulsion Avionics system Opto-electronic system Air traffic management Earth observation Deep space exploration Bionic micro-aircraft/spacecraft Intelligent sensing and Information fusion
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