Comparison of Small Rotor Tonal and Random Noise Decomposition Methods

IF 1.9 4区 物理与天体物理 Q2 ACOUSTICS
Justin Malkki, Yendrew Yauwenas, Con Doolan, Danielle Moreau
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引用次数: 0

Abstract

This paper examines and compares methods of separating tonal and broadband components of the noise generated by small rotors as commonly found on small unmanned aerial systems (sUAS). Time synchronous analysis (TSA) methods with varying averaging algorithms, such as ensemble averaging (EA), exponential weighted moving averaging (EWMA) and Kalman filter averaging (KFA), are compared against themselves and against a cross-correlation-based method. The decomposition methods are used on noise measurements of a small isolated rotor under static operation and edgewise flight conditions at 10 m/s in the UNSW anechoic wind tunnel (UAT). The best method for isolating tones is TSA-EWMA and for isolating the broadband spectrum of noise is the cross-correlation method, based on the spectral reconstruction of the experimental data.

Abstract Image

小转子音调和随机噪声分解方法的比较
本文研究并比较了分离小型无人驾驶航空系统(sUAS)常见的小型旋翼产生的噪声的音调和宽带成分的方法。采用不同平均算法的时间同步分析 (TSA) 方法,如集合平均 (EA)、指数加权移动平均 (EWMA) 和卡尔曼滤波平均 (KFA),与这些方法本身以及基于交叉相关性的方法进行了比较。这些分解方法用于新南威尔士大学消声风洞(UAT)中 10 米/秒静态运行和边缘飞行条件下小型孤立转子的噪声测量。分离音调的最佳方法是 TSA-EWMA,分离噪声宽带频谱的最佳方法是基于实验数据频谱重构的交叉相关法。
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来源期刊
Acoustics Australia
Acoustics Australia 物理-声学
CiteScore
3.80
自引率
5.90%
发文量
24
审稿时长
>12 weeks
期刊介绍: Acoustics Australia, the journal of the Australian Acoustical Society, has been publishing high quality research and technical papers in all areas of acoustics since commencement in 1972. The target audience for the journal includes both researchers and practitioners. It aims to publish papers and technical notes that are relevant to current acoustics and of interest to members of the Society. These include but are not limited to: Architectural and Building Acoustics, Environmental Noise, Underwater Acoustics, Engineering Noise and Vibration Control, Occupational Noise Management, Hearing, Musical Acoustics.
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